Course provided by Udemy

Study type: Online

Starts: Anytime

Price: See latest price on Udemy

Overview

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RECOMMENDED LEARNING PATH

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  • 200+ Exercises – Programming in Python – from A to Z

  • 210+ Exercises – Python Standard Libraries – from A to Z

  • 150+ Exercises – Object Oriented Programming in Python – OOP

  • 100+ Exercises – Unit tests in Python – unittest framework

  • 100+ Exercises – Python Programming – Data Science – NumPy

  • 100+ Exercises – Python Programming – Data Science – Pandas

  • 100+ Exercises – Python – Data Science – scikit-learn

  • 250+ Exercises – Data Science Bootcamp in Python

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COURSE DESCRIPTION

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100+ Exercises – Python – Data Science – scikit-learn

Welcome to the course 100+ Exercises – Python – Data Science – scikit-learn, where you can test your Python programming skills in machine learning, specifically in scikit-learn library.

The course is designed for people who have basic knowledge in Python, numpy, pandas and scikit-learn. It consists of over 100 exercises with solutions.

This is a great test for people who are learning the Python language and machine learning and are looking for new challenges. Exercises are also a good test before the interview.

If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.

Expected Outcomes

  1. solve over 100 exercises in numpy, pandas and scikit-learn
  2. deal with real programming problems in data science
  3. work with documentation and Stack Overflow
  4. guaranteed instructor support