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1. DHC_Task2_-Customer-Segmentation-Using-Unsupervised-Learning DHC_Task2_-Customer-Segmentation-Using-Unsupervised-Learning Public

   Clustering mall customers into 5 segments using K-Means unsupervised learning. Includes Elbow Method, Silhouette Score, PCA and t-SNE visualization, and tailored marketing strategy recommendations …

   Jupyter Notebook 1

2. DHC_Task3-Energy-Consumption-Time-Series-Forecasting DHC_Task3-Energy-Consumption-Time-Series-Forecasting Public

   Forecasting household energy consumption using ARIMA, Facebook Prophet, and XGBoost. Includes time-based feature engineering, lag features, MAE/RMSE evaluation, and actual vs forecasted plots. Buil…

   Jupyter Notebook 1

3. DHC_Task4-Loan-Default-Risk-with-Business-Cost-Optimization DHC_Task4-Loan-Default-Risk-with-Business-Cost-Optimization Public

   Predicting loan default risk using Logistic Regression and CatBoost with business cost-based threshold optimization. Minimizes total financial loss by tuning decision thresholds using a cost-benefi…

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4. DHC_Task5-Interactive-Business-Dashboard-in-Streamlit DHC_Task5-Interactive-Business-Dashboard-in-Streamlit Public

   Interactive BI dashboard for Global Superstore sales, profit, and customer analysis built with Streamlit and Plotly. Features KPI cards, dynamic filters by Region, Category and Sub-Category, and To…

   Jupyter Notebook 1

5. DHC_Task1_Term-Deposit-Subscription-Prediction DHC_Task1_Term-Deposit-Subscription-Prediction Public

   Predicting bank customer subscription to term deposits using Logistic Regression and Random Forest. Includes SHAP explainability for 5+ individual predictions, ROC curve, F1-score evaluation, and f…

   Jupyter Notebook 1