This project aims to build a model that predicts if a person has diabetes beased on various diagonistic data. This project implements Linear Regression (Stochastic and Batch Gradient Descent), Polynomial Regression, Lasso Regression, Ridge Regression, Logistic Regression and Least Squares classifier from scratch to do the same. Data before preprocessing is available in 'dataset.csv'. Code, Analysis and Results are present in 'Template.ipynb'.
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Neo-Panther/ML-Project-Predicting-Diabetes
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ML Project implementing linear, polynomial, logistic, least squares, lasso, ridge regression techniques from scratch, for classification.
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