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1. Retail-Customer-Revenue-Prediction-EDA-OLS-Regression-sklearn-Modeling Retail-Customer-Revenue-Prediction-EDA-OLS-Regression-sklearn-Modeling Public

   Built an end-to-end retail customer revenue prediction project using Python, covering data cleaning, exploratory data analysis, feature engineering, OLS regression diagnostics, multicollinearity ch…

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2. Bike-Sharing-Regression-Prediction-Models Bike-Sharing-Regression-Prediction-Models Public

   This project leverages machine learning regression to forecast hourly bike rental demand based on environmental and seasonal factors. Using the UCI Bike Sharing Dataset, I implemented and optimized…

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3. California-Housing-Prediction-Models California-Housing-Prediction-Models Public

   This model utilizes OLS to architect a robust MLR framework. By minimizing the SSR, it establishes a mathematically rigorous baseline for predicting California home values. It quantifies the specif…

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4. Used-Cars-regression-prediction-models Used-Cars-regression-prediction-models Public

   Used Cars Regression Prediction Models is a machine learning project that predicts car prices using real-world data. It includes data cleaning, EDA, feature engineering, and regression models like …

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5. WineQT-classification WineQT-classification Public

   Wine Quality Classification project exploring LDA, QDA, Logistic Regression, and KNN with feature engineering. Progression shows class overlap as key challenge. Best performance achieved with KNN +…

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6. Breast-Cancer-diagnosis Breast-Cancer-diagnosis Public

   Breast cancer classification project using EDA, feature engineering, and model comparison. Reduced data to size and shape features, achieving 99% accuracy with Logistic Regression. Demonstrates str…

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