Build a RFM (Recency Frequency Monetary) model for Retail Customers
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Updated
May 16, 2021 - Jupyter Notebook
Build a RFM (Recency Frequency Monetary) model for Retail Customers
A complete dashboard of Walmart Retail Data Analysis using Tableau.
A complete dashboard of Walmart Retail Data Analysis using Tableau.
Optimize retail insights with AccioJob's Excel Dashboard. Analyze sales data effortlessly for sharper decision-making and enhanced business strategy. This comprehensive Excel solution includes dynamic visualizations and slicers for an intuitive experience. Dive into the power of data-driven insights with AccioJob's Retail Insights in MS Excel.
A complete dashboard of Walmart Retail Data Analysis using Tableau.
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Analysis of retail sales and time series forecast using exponential smoothing
Useful python tricks to speed up your time consuming excel works.
Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data
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Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation
In this project, I analyzed the point of sale transactional dataset to identify sales trends, suggest menu changes, and the impact of pricing changes.
Project with real retail data. This repository shows my proposed solution to estimate the sale using information obtained from IT sensors. Due to confidentiality issues, the entire data analysis and transformation process is not shown.
This is the historical data that covers sales of a supermarket, Walmart. In this work, I tried to explore the dataset and create a simple model to predict the sales (Weekly_Sales)
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