Upon completion of this course the student will be able to:

1. Build machine learning models in python using popular machine learning libraries such as pandas, NumPy and scikit-learn.
2. Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.
3. Build and train unsupervised machine learning models such as dimension reduction and clustering.