Big-Mart-Sales-Prediction

A perfect project to learn Data Analytics and apply machine learning algorithms to predict the outlet production sales.

Given Data sets

1:-Train.csv 2:-Test.csv

The Problem Statement

The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Create a model by which Big Mart can analyse and predict the outlet production sales

It is the perfect project for learning Data Analytics. In this projec the reader will come to know 1: Data Exploration 2: Data Cleaning 3: Feature Engineering 4: Creating Models

Following machine learning algorithms are used

1: Lenear Regression Model 2: Ridge Regression Model 3: Decision Tree Model 4: Random Forest Model