This course will guide students through the application of fundamental machine learning techniques to well log data. Techniques covered include clustering, classification, and regression via multiple methodologies. The emphasis of each module is to understand when different techniques should be applied to the data and why. Students will run code to read well log data, train and test machine learning models, and to write log data back for visualization in their G&G software. This course is not designed to teach students how to code in Python, but rather how to apply machine learning to create value for their company.