dvp2004
4th year Computer Science Student at Heriot-Watt University, Dubai
Heriot-Watt UniversityDubai
Pinned Repositories
Amazon_Sent_Analysis
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.
HybridML-StockPrediction
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 LSTM networks, alongside an automated trading bot. A comprehensive solution for enhancing stock market prediction accuracy.
ToDoList
It is code for a ToDoList
YT_Sentiment_Analysis
Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. Implemented in Python with libraries like pandas, nltk, and seaborn.
dvp2004's Repositories
dvp2004/HybridML-StockPrediction
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 LSTM networks, alongside an automated trading bot. A comprehensive solution for enhancing stock market prediction accuracy.
dvp2004/Amazon_Sent_Analysis
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.
dvp2004/ToDoList
It is code for a ToDoList
dvp2004/YT_Sentiment_Analysis
Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. Implemented in Python with libraries like pandas, nltk, and seaborn.