Machine Learning with Python: A Practical Introduction
This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!
In this course you will learn about:
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How Statistical Modeling relates to Machine Learning and do a comparison of each. Real-life examples of Machine learning and how it affects society in ways you may not have guessed! In the labs: Use Python libraries for Machine Learning, such as scikit-learn.
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Explore many algorithms and models: Popular algorithms: Regression, Classification, and Clustering Recommender Systems: Content-Based and Collaborative Filtering Popular models: Train/Test Split, Gradient Descent, and Mean Squared Error Get ready to do more learning than your machine!