Using Python & Logistic Regression in Transportation and Retail Industry

In this video, Rajarajan demonstrates the use of Analytics in Retail and Supply chain domains with case studies. The case studies used are
1: Applications of analytics in the transportation sector.
2: Optimizing order quantity of perishable goods.

By: Rajarajan Subramanian

Rajarajan is currently working as Manager, Analytics with NEC Technologies, India. He manages projects executed in Advanced Analytics CoE and has previously worked on Predictive Modelling projects for global clients. Some of the major analytics projects he has worked on are Driver Accident Risk Prediction, POS Auto order system, Bus Schedule Optimization, Self Analytics Platform etc. He has over 16yrs of professional experience.