This Repository deals with tabular data of varying forms including Forecasting and Time-series analysis. Classification tasks, linear regression and cost prediction.
Packages used in this repository are Pandas, Spark XGBoost and visualization libraries
#Pharm.ipynb is a project on forecasting future sales of items in retail, based on previous stock demand of this item. I approached this project by// using lag features to predict the demand for the top selling products.