100+ Exercises - Python - Data Science - scikit-learn
- 4.9
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Brief Introduction
Improve your machine learning skills and solve over 100 exercises in python, numpy, pandas and scikit-learn!Description
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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
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.
Requirements
- Requirements
- completed course '200+ Exercises - Programming in Python - from A to Z'
- completed course '210+ Exercises - Python Standard Libraries - from A to Z'
- completed course '100+ Exercises - Python Programming - Data Science - NumPy'
- completed course '100+ Exercises - Python Programming - Data Science - Pandas'
- basic knowledge of scikit-learn and machine learning concepts
Paweł Krakowiak
4.9 Raiting
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