This is a linear regression algorithm for predicting the boston housing prices with 83% accuracy using sklearn to load dataset and then have written an, linear regression algorithm from scratch with different models, like first with normal cost,gradient descent, second after normalising the data, and third after using feature engineering. This is implemented in a jupyter notebook.
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Tan141101/Linear_regression
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A simple linear regression from scratch which also implements normalization and feature engineering
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