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

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 Sales Forecasting

Data for M5 Walmart Kaggle Competition

Walmart Store Prediction Project

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

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.

Introduction to Forecasting

Case Study- Retail

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

A comprehensive analysis of Walmart's sales data to identify revenue-driving factors, optimize costs, and uncover trends through Power BI dashboards and machine learning.

Time series forecasting using meta neural prophet