Skills you'll gain

There are 6 modules in this course

At the conclusion of this course, you should be able to: 1) Explain how machine learning works and the types of machine learning 2) Describe the challenges of modeling and strategies to overcome them 3) Identify the primary algorithms used for common ML tasks and their use cases 4) Explain deep learning and its strengths and challenges relative to other forms of machine learning 5) Implement best practices in evaluating and interpreting ML models

The Modeling Process

Evaluating & Interpreting Models

Linear Models

Trees, Ensemble Models and Clustering

Deep Learning & Course Project

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