Machine Learning with Python

Each module of the course starts with theory to explain upcoming concepts. Next, students see how this theory is put into practice as we do a code walk through.

The course focuses on building procedural machine learning processes from the ground up. Although algorithms from various libraries are used. Writing all of the processing from scratch allows students to better understand what is involved when processing data.

As each machine learning application is created, thorough explanations and comments are provided to help students understand why things are being done in certain ways. Code walk throughs show building a machine learning app in real-time, rather than after it has already been created.