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  1. HybridML-StockPrediction HybridML-StockPrediction Public

    This repository hosts the code for a hybrid ML model integrating technical, fundamental, and sentiment data for stock prediction. It features advanced techniques like Random Forest, XGBoost, and LS…

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    Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. I…

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    Amazon Product Review Sentiment Analysis: Machine learning models analyze customer reviews to identify sentiments, extract topics, and improve product insights using LSTM, CNN, and LDA techniques.

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