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  1. Movie-Recommendation-Engine-Development-using-Apache-Spark Movie-Recommendation-Engine-Development-using-Apache-Spark Public

    This project is a movie recommendation system built with Spark, using the Alternating Least Squares (ALS) algorithm to predict user ratings and recommend movies. By processing and optimizing the Mo…

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  2. San-Francisco-Crime-Rate-Analysis-using-Apache-Spark San-Francisco-Crime-Rate-Analysis-using-Apache-Spark Public

    This project analyzes San Francisco crime data using Apache Spark, processing over 1.5 million records to identify patterns in crime types, locations, and times. Insights reveal high-crime areas an…

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  3. Stock-Price-Prediction-using-LSTM Stock-Price-Prediction-using-LSTM Public

    This project is an LSTM-based model in PyTorch for stock price prediction, achieving strong predictive accuracy with effective preprocessing, optimization, and visualization techniques.

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  4. Customer-Churn-Prediction-for-Bank Customer-Churn-Prediction-for-Bank Public

    A supervised machine learning project to predict bank customer churn, utilizing feature engineering, multiple classification models, and hyperparameter tuning to achieve 85.9% accuracy with the Ran…

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  5. Document-Clustering-and-Topic-Modeling Document-Clustering-and-Topic-Modeling Public

    A Python-based project analyzing 1000+ customer reviews using NLP techniques (TF-IDF, K-means, LDA) to uncover key feedback themes. Includes an interactive dashboard for visualizing clusters and cu…

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