Describe your data science process start to finish?
ID: Identify question, identify best data, identify metrics or features. LOAD: separate training and testing, load data and clean it, perform exploratory analysis, Fit: models (start simple unless yo know it won't work) CV to train hyper parameters. Find best model and run evaluation set