Rainfall modelling with OLS and Kernel Regression
This project is about Rainfall modelling and assumptions testing, you can expect:
- working on real data from Polish Institute of Meteorology and Weather Management
- data cleaning and analysis
- econometric modelling (OLS, Kernel Regression)
- OLS assumptions testing (RESET (several alternatives), Breusch-Pagan, Breusch-Godfrey, Jarque-Bera, Rescaled Moments, VIFs)
- model selection (information criteria)
- performance measurement (MSE, RMSE, MAE, MAPE, R squared and adjusted R squared, F test, scatterplots)
- data transformations (Principal Component Analysis, Box Cox power transform)
- “forecasting” (see the report why quotation marks used ;))
- discussion about endogeneity
- Python notebook (and many HTML files with models for many weather stations)
- quality paper-style report in Polish