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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…

   Jupyter Notebook

2. diabetes_analysis diabetes_analysis Public

   Power BI dashboard analyzing a diabetes dataset to identify trends in glucose levels, BMI, age, and risk factors. Includes data cleaning, DAX measures, and interactive visuals to explore patterns a…

3. insurance-dataset-EDA insurance-dataset-EDA Public

   Insurance Dataset EDA project exploring medical cost drivers using Python (Pandas, Seaborn, Matplotlib). Includes data cleaning, univariate & bivariate analysis, correlation (Pearson & Spearman), f…

   Jupyter Notebook

4. 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…

   Jupyter Notebook

5. California-housing-EDA California-housing-EDA Public

   Exploratory Data Analysis on California Housing dataset: uncover patterns, distributions, and relationships among features like median income, house value, population, and proximity to the ocean. I…

   Jupyter Notebook

6. 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…

   Jupyter Notebook