Python Numpy: Machine Learning & Data Science Course

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
Udemy

Course Description

Hello there,

Welcome to Python Numpy: Machine Learning & Data Science Course

  • Are you ready for the Data Science career?

  • Do you want to learn the Python Numpy from Scratch? or

  • Are you an experienced Data scientist and looking to improve your skills with Numpy!

In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities,

Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack.

NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important.

In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless.

Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course.


In this course you will learn;

  • How to use Anaconda and Jupyter notebook,

  • Fundamentals of Python

  • Datatypes in Python,

  • Lots of datatype operators, methods and how to use them,

  • Conditional concept, if statements

  • The logic of Loops and control statements

  • Functions and how to use them

  • How to use modules and create your own modules

  • Data science and Data literacy concepts

  • Fundamentals of Numpy for Data manipulation such as

  • Numpy arrays and their features

  • Numpy functions

  • Numexpr module

  • How to do indexing and slicing on Arrays

  • Linear Algebra

  • Using numpy in Neural Network

And we will do many exercises. Finally, we will also do a neural network project with Numpy.

Why would you want to take this course?

We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better.

No prior knowledge is needed!

In this course, you need no previous knowledge about Python or Numpy.

This course will take you from a beginner to a more experienced level.

If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science.

If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.

You'll also get:

· Lifetime Access to The Course

· Fast & Friendly Support in the Q&A section

· Udemy Certificate of Completion Ready for Download

Dive in now Machine Learning with NumPy and Python Data Science course

We offer full support, answering any questions.

See you in the course!

Who this course is for:

  • Anyone who wants to learn Numpy
  • Anyone who want to use effectively linear algebra,
  • Software developer whom want to learn the Neural Network’s math,
  • Data scientist whom want to use effectively Numpy array

Instructor

Web & Mobile Development, IOS, Android, Ethical Hacking, IT
  • 4.5 Instructor Rating
  • 7,395 Reviews
  • 157,395 Students
  • 180 Courses

Hi there,

By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point.

At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution.

OAK Academy will be the bridge between the tech industry and people who

-are planning a new career

-are thinking career transformation

-want career shift or reinvention,

-have the desire to learn new hobbies at their own pace

Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day.

We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses,

OAK Academy will provide you the information and support you need to move through your journey with confidence and ease.

Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here.

OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions.

If you need help or if you have any questions, please do not hesitate to contact our team.

Expected Outcomes

  1. Fundamentals of Numpy Library and a little bit more Installation of Anaconda and how to use Using Jupyter notebook Learn Fundamentals of Python for effectively using Numpy Library Numpy arrays Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  2. Installation of Anaconda and how to use Using Jupyter notebook Learn Fundamentals of Python for effectively using Numpy Library Numpy arrays Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  3. Using Jupyter notebook Learn Fundamentals of Python for effectively using Numpy Library Numpy arrays Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  4. Learn Fundamentals of Python for effectively using Numpy Library Numpy arrays Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  5. Numpy arrays Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  6. Numpy functions Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67795a4669a3407e',m:'d968facdbff05f56cf053b8f502a4c10451ddf93-1627760995-1800-AfFOWsxFayE6oFjI90ukNCTLkO5ZdMbIydOtHaFnu3rejRKewlaAva8tzpd4B/WVCKU8EqknBVHm646BH9iRsVFaLDu4D/3GplzQIHZ2x7PkmNSAe9+GyMFI6Bh9bmQWDvklOudwK/k6PrPM0ggk7dunTONDCoXC29KzHp5yviF1ex/nEssMvQvvyq2k7vSEZg==',s:[0x2e80548c32,0x345c2d4a46],}})();
  7. Linear Algebra Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in NumPy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important. In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful library Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless. Throughout the course, we will teach you how to use the Python in Linear Algebra, and Neural Network concept , and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Machine Learning with NumPy and Python Data Science course. In this course you will learn; How to use Anaconda and Jupyter notebook, Fundamentals of Python Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features Numpy functions Numexpr module How to do indexing and slicing on Arrays Linear Algebra Using numpy in Neural Network And we will do many exercises. Finally, we will also do a neural network project with Numpy. Why would you want to take this course? We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better. No prior knowledge is needed! In this course, you need no previous knowledge about Python or Numpy. This course will take you from a beginner to a more experienced level. If you are new to data science or have no idea about what data science is, no problem, you will learn anything from scratch you need to start data science. If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples. You'll also get: · Lifetime Access to The Course · Fast & Friendly Support in the Q&A section · Udemy Certificate of Completion Ready for Download Dive in now Machine Learning with NumPy and Python Data Science course We offer full support , answering any questions. See you in the course! Who this course is for: Anyone who wants to learn Numpy Anyone who want to use effectively linear algebra, Software developer whom want to learn the Neural Network’s math, Data scientist whom want to use effectively Numpy array Show more Show less Instructor Oak Academy Web & Mobile Development, IOS, Android, Ethical Hacking, IT 4.5 Instructor Rating 7,395 Reviews 157,395 Students 180 Courses Hi there, By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point. At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution. OAK Academy will be the bridge between the tech industry and people who -are planning a new career -are thinking career transformation -want career shift or reinvention, -have the desire to learn new hobbies at their own pace Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day. We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses, OAK Academy will provide you the information and support you need to move through your journey with confidence and ease. Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here. OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions. If you need help or if you have any questions, please do not hesitate to contact our team. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? 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  8. Most importantly you will learn the Mathematics beyond the Neural Network Also, why you should learn Python and Numpy Library The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list. You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms Show more Show less Course content 6 sections • 32 lectures • 5h 38m total length Expand all sections Course Overview 2 lectures • 5min Course Overview Preview 05:23 Project Files and Course Documents 00:05 Python Setup 4 lectures • 18min Installing Anaconda for Windows 06:16 Installing Anaconda for Mac 06:42 Let's Meet Jupyter Notebook for Windows 02:21 Basics of Jupyter Notebook for Mac 02:28 Fundamentals of Python 10 lectures • 1hr 41min Data Types in Python Preview 12:42 Operators in Python 10:31 Conditionals 09:49 Loops 13:07 Lists, Tuples, Dictionaries and Sets 17:54 Data Type Operators and Methods 11:21 Modules in Python 05:15 Functions in Python 08:05 Exercise Analyse 01:46 Exercise Solution 10:46 Object Oriented Programming 5 lectures • 34min Logic of OOP 04:58 Constructor 06:52 Methods 04:41 Inheritance 06:42 Overriding and Overloading 10:33 1 1 question Numpy Library 10 lectures • 2hr 55min What is Numpy? Preview 06:49 Why Numpy? 04:23 Array and Features 12:08 Array’s Operators 04:53 Numpy Functions 18:25 Indexing and Slicing 10:15 Numpy Exercises 16:03 Using Numpy in Linear Algebra 30:14 2 1 question NumExpr Guide 09:15 Using Numpy with Creating Neural Network 01:03:02 3 1 question BONUS 1 lecture • 5min BONUS 04:45 Requirements No prior knowledge is required Free software and tools used during the course Basic computer knowledge Desire to learn Python and Numpy library Nothing else! It’s just you, your computer and your ambition to get started today Description Hello there, Welcome to Python Numpy: Machine Learning & Data Science Course Are you ready for the Data Science career? Do you want to learn the Python Numpy from Scratch? or Are you an experienced Data scientist and looking to improve your skills with Numpy! In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for you to take part in this world and create your own opportunities, Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Moreover, Numpy forms the foundation of the Machine Learning stack. NumPy aims to provide an array object that is up to 50x faster than traditional Python lists. The arr