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1. Store-Item-demand-forecasting Store-Item-demand-forecasting Public

   Analyze the dataset which includes: Store-level sales data per SKU Historical order quantities per SKU. Build a XGBoost model to predict the next 1–2 weeks of SKU-level order quantity.

   Jupyter Notebook

2. Customer-lifetime-value Customer-lifetime-value Public

   In this project, I have developed Xgboost model to predict cltv value for each customer and cluster them using kmeans, then deployed ML models using the flask .

   Jupyter Notebook 1

3. Hybrid-Model-for-stock-Price-Prediction Hybrid-Model-for-stock-Price-Prediction Public

   Master Project

   Jupyter Notebook 1

4. Churn-prediction Churn-prediction Public

   Jupyter Notebook

5. Real-Estate-Market-Analysis Real-Estate-Market-Analysis Public

   Jupyter Notebook

6. User-Classification User-Classification Public

   The aim is to predict whether students would upgrade their free plan to a paid one.

   Jupyter Notebook