Homeworks are due at the start of the next class.

HW: EDA

This homework goes over looking at summary tables for a dataset, explaining statistical terms to non-tech folks, exploring statistics, and interpretting statistical tests.

HW: EVL

This homework goes over model selection in our 5-step ML workflow, as well as evaluation metrics for both classification and regression.

HW: CLS

This homework breaks down the calculations used in clustering algorithms.

HW: DATA

This homework walks through the data cleaning steps and thought process using AirBnB data.

HW: TREE

HW: LIN

HW: ESB+MOD

HW: NN