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Predict medical insurance costs using a custom-built linear regression model. Built from scratch with NumPy — no scikit-learn. Includes feature scaling, one-hot encoding, gradient descent, and MSE plotting.
This project demonstrates how to read, visualize, and clean datasets, and then trains a logistic regression model to solve a multi-class classification problem using the one-vs-all method.
Python (Django) RESTful framework - Web API - A toolkit to create APIs. Clients make GET, POST, and DELETE http requests. API receives, validates, responds to the user, and save data in the background (database)...