The challenge required participants to implement a predictive model to find out the sales of each product at a particular store. More about the challenge can be read here.
The processes involved in this study were data cleaning, data visualization, feature engineering and modelling. A multiple linear regression model was used to make the sales predictions.
Aside from the visualization in the notebook, some additional visualization was implemented with Tableau as shown here.