Feature selection using Decision Tree

One of the key differentiators in any data science problem is the quality of feature selection and importance. When we have a lot of data available to be used by our model, the task of feature selection becomes inevitable due to computational constraints and the elimination of noisy variables for better prediction. Also, for...

Predicting online buying behavior using deep learning algorithm

  User interaction with a website can be used to predict buy event. A user’s behavior can be used to predict user intentionality towards different products. This can be used to show ads for retargeting. In e-commerce a lot of data of user is available like searches, page views, time spent per item, basket...