With less than 3 days to go, this script is meant to help beginners with feisty ideas, machine learning workflow and motivation for ongoing machine learning challenge.

Here’s a quick workflow of what I’ve done below:

1. Load data and explore
2. Data Pre-processing
3. Dropped Features
4. One Hot Encoding
5. Feature Engineering
6. Model Training

Good Luck!

Note: For more feature engineering ideas, spend time on exploring data by loan_status variable. For categorical vs categorical data, create dodged bar plots. For categorical vs continuous data, create density plots and use fill=as.factor(loan_status).