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1. Brain-Stroke-Prediction Brain-Stroke-Prediction Public

   Applying Logistic Regression, Decision Tree, Random Forest for predicting stroke and handling highly imbalanced data with stratifiedKfold and GridSearchCV.

   Jupyter Notebook

2. Cost-aware-PCOS-Screening Cost-aware-PCOS-Screening Public

   An explainable, cost-aware PCOS/PMOS screening project using machine learning classifiers—Random Forest, Logistic Regression, XGBoost, LightGBM, Decision Tree, and hybrid stacking and voting ensemb…

   Jupyter Notebook

3. Customer-Churn-Prediction Customer-Churn-Prediction Public

   Deriving insights from large amount of customer dataset with Pyspark and Applying ML Algorithms with MLlib

   Jupyter Notebook

4. Shopping-website-review Shopping-website-review Public

   This project analyzes 36,000 Meesho customer reviews using Hadoop HDFS, Java MapReduce, and PySpark. It identifies rating trends, common topics in low-rated reviews, company reply coverage, and hel…

   Python