This project focuses on creating a model to predict World Happiness Index.

The process includes:

• integrating static data (file from the WHI project) and dynamic data (retrieved from the World Bank Indicator)
• cleaning, consolidating data
• EDA
• and finally, creating a linear regression model to fit the data

Stepwise feature selection is implemented for the model as an example.