Unlock modern machine learning techniques with Python by using the latest cutting-edge open source Python libraries.

This is Part 2 of the Python Machine Learning series. In this course, we provide a practical approach to key frameworks in data science and machine learning. Using scikit-learn to implement machine learning, get to know the best practices to improve and optimize your machine learning systems and algorithms.


Master machine learning techniques using challenging real-world data, Understand how to preprocess data for particular models,Delve into dimensionality reduction techniques, Learn how to optimize machine learning algorithms by evaluating the models and tuning hyperparameters,and Understand ensemble learning


Basic Python programming and familiarity with the NumPy library, Understanding of basic linear algebra concepts

Completion of Python Machine Learning Part 1 is highly recommended

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Certificate of Completion

Certificate Of Completion

Complete this entire course to earn a Python Machine Learning (Part 2) Certificate of Completion