Skip to content

Latest commit

 

History

History
7 lines (6 loc) · 502 Bytes

File metadata and controls

7 lines (6 loc) · 502 Bytes

Market-Analysis-based-on-Machine-Learning-techniques

In collaboration with my stimated collegue Ortensia Forni

Implementation of Feature Selection (Best Subset Selection), Regularization (Lasso and Ridge), Dimension Reduction (PCA and PLS) followed by the execution of Model Selection (linear and polynomial regression, GAM, decision trees, random forest, gradient boosting, SVM, NN) to predict sales of a fictitious multinational retail company and to select the most profitable market to open