In this project I used different regression algorithms to predict sales of stores. I used Kaggles free GPUs and Datasets in this competion. Those different algorithms include random forrest, decision tree, xgboost, K Nearest Neighbour and so on. Initially I used feature engineering to get my data into the best shape.

The Data

https://www.kaggle.com/aakash2016/big-mart-sales-dataset

NoteBook

https://www.kaggle.com/ashiqueeelahi/big-mart-sales-prediction

Used In This Project

Random Forrest

Xgboost

Decision Tree

Feature Engineering

K Nearest Neighbour