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

Walmart Store Sales Forecasting

Developed time series models utilizing Greykite and Neural Prophet on Walmart retail data, with Flask deployment for efficient and scalable access.

Walmart Store Sales Forecasting

Walmart Store Prediction Project

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

Introduction to Forecasting

Data for M5 Walmart Kaggle Competition

Case Study- Retail

Walmart sales prediction using Python and XGBoost

Comprehensive EDA and machine learning analysis of Walmart sales data with feature engineering, multiple feature selection techniques, and predictive modeling. Handles 400k+ records with 130+ engineered features to forecast weekly sales and identify key business drivers.

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

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.

Time series forecasting using meta neural prophet

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

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.