This Telecom-Data-Analysis repo contain .py files which stated about the exploratory data analysis operations in detail on Telecommunication data. this exploratory data analysis shows cleaning, pre-processing, filling missing values and producing clean data that are ready for machine learning. the machine learning algorithm takes the clean data and perform some learning algorithm for producing learning model.

This project aims to forecast sales in all Pharmaceutical stores across several cities six weeks ahead of time. It is identified that factors such as competitor distance, promotions, school and state holidays, seasonality, and locality as necessary for predicting the sales across the various stores. Previously recorded data was provided and future sales prediction is made using that data.