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1. k-means-clustering-via-haversine-distance- k-means-clustering-via-haversine-distance- Public

   clustering retail stores with the coordinates(latitude, longitude) of stores available via haversine distance matrix

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2. User-based-collaborative-filtering-to-make-recommendation-system- User-based-collaborative-filtering-to-make-recommendation-system- Public

   User based collaborative filtering to make recommendation system

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3. Market-basket-analysis Market-basket-analysis Public

   This market basket analysis has the main job as cleaning the data whether creating the custom dictionary to correct misspelled Hindi words or removing custom stop words from product names.Hence it …

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4. Feature-engineering-for-Uninstallation-of-application Feature-engineering-for-Uninstallation-of-application Public

   Preparing the features for forming a data-set to make a binary classification model for the retailers who uninstall the application

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5. Fraud-detection-matrices-calculation Fraud-detection-matrices-calculation Public

   Calculation of fraud detection matrices for the retail store(to get if the retailer is making fraud orders)

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6. Fetching-the-raw-data-from-google-places-API Fetching-the-raw-data-from-google-places-API Public

   Fetching the raw data from google places API by passing the coordinates of the cluster centroid and delivery radius as 5km

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