agrawal-priyank/machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

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Implements polynomial regression alongside linear variants and uses GraphLab Create for direct algorithm application, complementing hand-coded gradient descent implementations. Feature selection via L1/L2 regularization directly addresses multicollinearity and overfitting across simple, multiple, and polynomial regression architectures. Jupyter notebooks provide modular, reproducible workflows organized by algorithmic approach rather than a single integrated pipeline.

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No License Stale 6m No Package No Dependents
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Maturity 8 / 25
Community 23 / 25

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96

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73

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Jupyter Notebook

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Last pushed

Dec 08, 2023

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