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Identified and analyzed 32+ millions row data product for customer order prediction. Create visualization on jupyter using seaborn and matplotlib an dashboard in tableau.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
CustomerSegmentation.ipynb		CustomerSegmentation.ipynb
EDA.ipynb		EDA.ipynb
FeatureExtraction.ipynb		FeatureExtraction.ipynb
LICENSE		LICENSE
Modelling.ipynb		Modelling.ipynb
ModellingPreparation.ipynb		ModellingPreparation.ipynb
README.md		README.md
XGBoost Feature Importance Plot.png		XGBoost Feature Importance Plot.png
aisles.csv		aisles.csv
departments.csv		departments.csv

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Market-Basket-Analysis

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Identified and analyzed 32+ millions row data product for customer order prediction. Create visualization on jupyter using seaborn and matplotlib an dashboard in tableau.

market-basket-analysis

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