Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

Using Time Series forecasting and analysis to predict Walmart Sales across 45 stores.

Walmart Store Sales Forecasting

Time series model using Greykite and Neural Prophet on Walmart retail data along with Flask deployment.

Walmart Store Sales Forecasting

Walmart Store Sales Forecasting

Data for M5 Walmart Kaggle Competition

Walmart Store Prediction Project

A time series model to predict weekly sales of Walmart data consisting of 45 stores located in different regions including store information and monthly sales using ARIMA and Exponential Smoothing.

This project aims to forecast the weekly sales of Walmart stores across the USA.

Case Study- Retail

Introduction to Forecasting

Walmart sales prediction using Python and XGBoost

A machine learning project to predict weekly sales for 45 Walmart stores using historical data and economic factors from year 2010 to 2012. The goal is to boost sales by 10% and improve customer engagement.

This project aims to predict the sales of walmart

This project analyzes weekly sales data for 45 Walmart stores over the years 2010 to 2012. Using Python and Pandas, the analysis provides insights to boost sales by 10% and improve customer engagement.

An end-to-end ML project to forecast Walmart Sales

The aim of this project is to do the retail analysis with Walmart data.

Time series forecasting using meta neural prophet