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This repository contains the implementation of a Prostate Cancer Grade Assessment system, aimed at aiding in the accurate grading of prostate cancer tissue samples. The system utilizes machine lear…
"Threadfluence Analyzer: Explore the rise of Threadfluence, an Instagram-backed app, through sentiment analysis of user reviews. Utilizing Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, …
This repository features notebooks and datasets for predicting Tesla (TSLA) stock prices using LSTM models. Explore historical data, forecast trends, and gain insights into TSLA's market movements.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
An android app used to set my everyday college time table.
KryptoWalletApp is a basic Hardhat project showcasing Ethereum development practices. It features a sample contract, a corresponding test suite, a deployment script, and an example task implementat…
Explore the E-commerce Customer Segmentation Analysis project! Dive into data analytics with an e-commerce dataset, aiming to understand customer behavior, identify segments, and glean insights for…
This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumption using advanced algorithms, outperforming an optimal linear…
Unlock health insights with this SQL-based mini case study. Explore user measurements, blood glucose tracking, and diverse health metrics, offering a valuable resource for healthcare data analysis.
Developed a machine learning model to detect media bias in news articles. Employed natural language processing techniques to analyze text content and classify sources into unbiased, left-leaning, o…
Within this scope of repository, we conclude and analyze the sentiments and manifestations (comments,hastags, posts, tweets, images) of the users of the Twitter social mediaplatform, based on the m…
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user