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  1. Customer-Retention Customer-Retention Public

    A data science project predicting customer churn using logistic regression. Features include data preprocessing, exploratory data analysis (EDA), and model evaluation with key insights on improving…

    Jupyter Notebook

  2. Time-Series-Financial-Forecasting Time-Series-Financial-Forecasting Public

    This project uses ARIMA and Prophet models to forecast sales and demand, with applications in inventory management and pricing strategies. Includes time series preprocessing and visualization

    Jupyter Notebook

  3. Customer-Segmentation---K-Means Customer-Segmentation---K-Means Public

    A clustering project using K-Means to segment customers based on behavioral metrics such as average utilization, total transaction amounts, and spending frequency. Includes interactive visualizati…

    Jupyter Notebook

  4. Heart-Disease-Analytics Heart-Disease-Analytics Public

    A machine learning project for predicting heart disease using Random Forest and Gradient Boosting classifiers. Includes class balancing with SMOTE, EDA, and comprehensive model evaluation

    Jupyter Notebook