HANDS-ON-LAB

Walmart Sales Prediction Machine Learning Project

Problem Statement

Predict the sales of Walmart stores.

Kindly download the data from here.

- Share of sales and profit by product category (top 5)
- Share of profit by region
- Share of sales and profit by product name (top 5)

- Create average sales per category and average sales by region features and drop the category and region column
- One-hot encode all the other categorical variables.
- Standardize the numerical variables

- Build a Linear Regression and Random Forest on the above data
- Set the date as index and use only sales column to build ARIMA and SARIMA model
- Use facebook prophet and build the model

Download the dataset and uncover Walmart store sales insights!

Q1. How can I analyze the sales and profit distribution by product category?

Perform hypothesis-based EDA to identify the top 5 product categories' sales and profit shares.

Q2. How can I determine the profit distribution by region?

Conduct an analysis to uncover the share of profit attributed to different regions.

Q3. Which models can I build for sales prediction?

Use Linear Regression, Random Forest, ARIMA, SARIMA, and Facebook Prophet models to predict Walmart store sales.