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1. Healthcare-Cost-Prediction-Model Healthcare-Cost-Prediction-Model Public

   A machine learning pipeline that predicts healthcare costs using over 2M records and 139 features. Models like Random Forest, XGBoost, and Neural Networks were used, with final deployment via a Shi…

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2. Bitcoin-Price-Prediction Bitcoin-Price-Prediction Public

   A machine learning project that predicts Bitcoin prices using historical market data from Yahoo Finance. Utilizes AWS (S3, Athena, SageMaker), PySpark, and Scikit-learn to build and evaluate Linear…

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3. Breast-Cancer-Analysis Breast-Cancer-Analysis Public

   The project uses the UCI dataset (569 records, 31 attributes) to classify breast cancer as benign or malignant with decision tree (95% accuracy) and random forest (96% accuracy) models. It includes…

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4. Text-Character-Analyzer Text-Character-Analyzer Public

   extCharAnalyzer is a Python script that analyzes character frequencies in a text file (HadoopBlurb.txt). It counts alphabetic characters, splits them into three random dictionaries, merges the coun…

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5. Portfolio-Optimization-Risk-Forecasting Portfolio-Optimization-Risk-Forecasting Public

   This project analyzes and compares the performance of tech stocks like MSFT and AAPL from 2022 to 2025. It uses backtesting and rolling Sharpe Ratios to evaluate risk-adjusted returns over time. Th…

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6. VideoStore-Analysis VideoStore-Analysis Public

   Conducted data analysis for a video store, exploring customer behavior, popular movie genres, and rental patterns. Utilized insights to optimize inventory management and enhance customer satisfacti…

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