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
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
This project aims to forecast the weekly sales of Walmart stores across the USA.
Walmart Store Prediction Project
Data for M5 Walmart Kaggle Competition
Introduction to Forecasting
Case Study- Retail
Walmart · Recruitment Prediction Competition · 2014 Kaggle
Forecast future sales for Walmart department
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.
An end-to-end ML project to forecast Walmart Sales
This repo contains my solutions for all tasks of elevvo internship tasks
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.
The aim of this project is to do the retail analysis with Walmart data.
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