Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
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Updated
Jun 1, 2021 - Jupyter Notebook
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
This project aims to forecast the weekly sales of Walmart stores across the USA.
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
REST API to search products and get full product details from Walmart. Real-time data, structured JSON.
Data for M5 Walmart Kaggle Competition
Introduction to Forecasting
Case Study- Retail
Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.
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.
Walmart · Recruitment Prediction Competition · 2014 Kaggle
Walmart sales prediction using Python and XGBoost
This repo contains my solutions for all tasks of elevvo internship tasks
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