Course project for "Data Mining" university course.
- Load data.
- Data audit and information value analysis.
- Feature Engineer: use date columns to make durations (in load data notebook).
- Finish univariate analysis.
- PyCaret without text features.
- Move missing value handling to first notebook.
- Restructure code.
- Save PyCaret models plots with performance analysis.
- Make regressor for number of backers.
- Add chi-sq.
- Make regressor for log transform number of backers.
- Evaluate model.
- Use regressor and classifier on test set.
- Experiment with a shallow (non-recurrent) neural network.