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1. Linear_Regression Linear_Regression Public

   Implemented Linear Regression using scikit-learn to predict housing prices. Evaluated model performance using R² score (~0.64) and residual distribution analysis to assess prediction errors and reg…

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2. Ridge_Regression Ridge_Regression Public

   Built a Ridge Regression model for housing price prediction to reduce overfitting through L2 regularization. Achieved an R² score of ~0.64, with residual analysis confirming improved model stability.

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3. Lasso_Regression Lasso_Regression Public

   Developed a Lasso Regression model applying L1 regularization for housing price prediction. The model achieved an R² score of ~0.64 while performing implicit feature selection and maintaining stron…

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4. ElasticNet-Regression ElasticNet-Regression Public

   Implemented ElasticNet Regression, combining L1 and L2 regularization to handle multicollinearity and improve robustness. Evaluated using R² score (~0.64) and residual distribution analysis on real…

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5. Logistic_Classification Logistic_Classification Public

   A multiclass classification project using Logistic Regression with Python and scikit-learn. The model is evaluated using a classification report and achieves perfect precision, recall, and F1-score…

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6. Decisiontree_Regression Decisiontree_Regression Public

   This project uses a Decision Tree Regression model to predict housing prices from structured data. The model is trained and evaluated using RMSE and R² score, with visual analysis of residuals and …

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