Prediction model for ecommerce
The goal of the project was to predict incomes for the products ecommerce transactional data.
Whole data was separated on to 7 subsets with categories associated with different income levels. For each subset different SVM models were trained. Predictions where done accordingly, using different models for different categories in the test dataset.