Problem : Customer segmentation
Implementation: I have taken inspiration from Kaggle Dataset, and implemented in Tensorflow 2.0, and have deployed it using Flask application.
Task :
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Analyzing the content of the E-Commerce database that contains the purchases made by approximate ~4000 customers over a period of one year
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To develop a model that allows to anticipate or predict the purchases that will be made by a new customer during the following & this year, based on the data available from the previous purchases. Steps :
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Data Preparation
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Exploring the content of variables (in short, Exploratory Data Analysis, not inlcuding the product category)
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Intuitions about the categories of the product, the customer buys
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Categories of the Customer that buys the product
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Classifying the Customers based on some parameters
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Testing the Predictions
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