Python Course — 100+ Exercises – Python – Data Science – Scikit-Learn
Enhance your machine learning skills and complete over 100 exercises with python, numpy, pandas, and scikit-learn!
What You Will Learn
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Complete over 100 exercises in numpy, pandas and scikit-learn
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Handle real-world programming problems in data science
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Work with documentation and Stack Overflow
Requirements
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Basic knowledge of Python
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Basic knowledge of numpy
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Basic knowledge of pandas
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Basic knowledge of scikit-learn concepts and machine learning
Description
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RECOMMENDED LEARNING PATH
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200+ Exercises – Programming with Python – from A to Z
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210+ Exercises – Python Standard Library – from A to Z
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100+ Exercises – Python Programming – Data Science – NumPy
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100+ Exercises – Python Programming – Data Science – Pandas
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100+ Exercises – Python – Data Science – scikit-learn
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250+ Exercises – Data Science Bootcamp with 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 the scikit-learn library.
This course is designed for people who have basic knowledge of 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 looking for new challenges. Exercises are also a great test before interviews.
Who This Course Is For:
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People who want to improve their Python programming skills
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People who want to improve their data science skills
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People who want to improve their machine learning skills
