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Movie-Recommendation-Engine-Development-using-Apache-Spark
Movie-Recommendation-Engine-Development-using-Apache-Spark PublicThis 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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San-Francisco-Crime-Rate-Analysis-using-Apache-Spark
San-Francisco-Crime-Rate-Analysis-using-Apache-Spark PublicThis 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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Stock-Price-Prediction-using-LSTM
Stock-Price-Prediction-using-LSTM PublicThis 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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Customer-Churn-Prediction-for-Bank
Customer-Churn-Prediction-for-Bank PublicA 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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Document-Clustering-and-Topic-Modeling
Document-Clustering-and-Topic-Modeling PublicA 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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