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
AI-Powered Sales Forecasting Dashboard (Future Interns ML Task 1) using Python, SARIMA, and Streamlit.
Time series forecasting project analyzing Walmart store-wise sales using Facebook Prophet. Includes exploratory data analysis, trend and seasonality modeling, performance evaluation (MAPE, RMSE, MAE, MSE), and visualization using Python.
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End-to-end SQL project analyzing Walmart sales data using PostgreSQL. Includes data cleaning with Python(pandas), business insights, and advanced SQL queries to solve real-world retail problems
This project analyzes weekly sales data from Walmart stores to uncover key insights and relationships between variables.
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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.
Weekly sales and time-series analysis of Walmart (2010–2012) using Python, focusing on seasonality, holiday impact, and store-level performance trends.
Walmart Sales Analysis with Excel/Google Sheets
Analysing walmart sales data to find out the if there is a relationship between weather and sales
End-to-end retail sales analysis using Python, SQL, and Power BI to uncover actionable business insights from Walmart sales data.
This project leveraged PostgreSQL to analyze Walmart sales data, uncovering key insights into branch performance, product trends, and customer behavior. Data was imported, analyzed through structured queries, and results were exported to support actionable business strategies.
Walmart Sales Prediction
End-to-end SQL + Analytics case study using Walmart sales data.
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