Introduction
Overview of Data Science Pipeline
Python Crash Course and Common Packages
Raw Data
Data Wrangling
Explore
Model Selection
Feature Engineering
Train Model
Evaluate Performance
Data Product
Training
80%
Testing
20%
k-fold CV
Tune Models
Evaluate Performance