About the Project:

Problem : Customer segmentation

• Data

Implementation: I have taken inspiration from Kaggle Dataset, and implemented in Tensorflow 2.0, and have deployed it using Flask application.

Task :

• Analyzing the content of the E-Commerce database that contains the purchases made by approximate ~4000 customers over a period of one year

• 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 :

• Data Preparation

• Exploring the content of variables (in short, Exploratory Data Analysis, not inlcuding the product category)

• Intuitions about the categories of the product, the customer buys

• Categories of the Customer that buys the product

• Classifying the Customers based on some parameters

• Testing the Predictions

📺 Some of my projects:

• Medical Visual Question Answering
• Customer Segmentation (Unsupervised Learning) (This repository)
• Brain MRI Segmentation (Classification and Segmentation)
• Image Classification (Cancer detection)
• Movie Recomendation using Cosine Similarity

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