This program implements linear regression from scratch using the gradient descent algorithm in Python. It predicts car prices based on selected features and uses a dataset of cars with their respective prices.
This repository contains the lab work of the course Machine Learning (IE 406).
This model will be used to determine the annual insurance premium (amount paid every month) offered to the customer by the medical insurance company for new customers.
GitHub hosts numerous logistic regression implementations, offering varying features and languages for analysis. These repositories provide accessible codebases for understanding, implementing, and experimenting with logistic regression models.
This's my solution to task 3 in the Supervised Learning course taken during the 2023 second semester.
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