What you will learn

• Describe the various types of Machine Learning algorithms and when to use them 

• Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression 

• Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees 

• Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics