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https://github.com/tashi-2004/global-ecommerce-retail-trends-analysis
The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.
https://github.com/tashi-2004/global-ecommerce-retail-trends-analysis
boxplot clv-analysis data-science data-visualization dataintegration deep-learning dimensionality-reduction ecommerce heatmap machine-learning normalization outlier-detection outlier-removal pca-analysis preprocessing python scatter-plot whatif-analysis
Last synced: 20 days ago
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The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.
- Host: GitHub
- URL: https://github.com/tashi-2004/global-ecommerce-retail-trends-analysis
- Owner: tashi-2004
- Created: 2024-09-15T21:24:26.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-28T21:01:02.000Z (about 2 months ago)
- Last Synced: 2024-10-28T22:17:29.473Z (about 2 months ago)
- Topics: boxplot, clv-analysis, data-science, data-visualization, dataintegration, deep-learning, dimensionality-reduction, ecommerce, heatmap, machine-learning, normalization, outlier-detection, outlier-removal, pca-analysis, preprocessing, python, scatter-plot, whatif-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 24.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0