The project’s objective is to design and develop an engine which can summarize the citizen’s opinions in a big city by capturing large amounts of data from different information sources, analyzing those different informations and extracting relevant conclusions.
Provide to Lead Ratings with a critical study of their approach to lead scoring prediction.
The project aims to analyse the approach to the problem of predicting conversion into a website from the clickstream of anonymous users. The first objective is to study and compare Lead Ratings company's approach with the existing ones in the e-commerce literature and in the machine learning research field. Provide a state-of-the-art of the application of machine learning to this problem. And, finally, propose improvements to the Lead Ratings's approach from the methodological and the implementation point of views.