The project aims to develop a model that predicts diseases based on user-reported symptoms. It will also recommend precautions and medications that can be taken as early preventive measures.

Developed a tool to parse social media feeds, extracting key data such as posts, comments, and sentiment analysis from various platforms. Utilized automated scraping techniques and NLP to provide i…

Python is a versatile, high-level programming language known for its readability and broad range of applications, from web development to data science. It supports multiple programming paradigms, i…

This project uses the Sentiment140 dataset for Twitter sentiment analysis. It involves text preprocessing, vectorization (TF-IDF or Word Embeddings), and classification (Naive Bayes, Logistic Regre…

This project involves comparing different stemming and lemmatization algorithms in Natural Language Processing. The goal is to implement and analyze the performance of various stemmers and lemmatiz…

This assignment explores fundamental NLP preprocessing techniques: Tokenization at word and sentence levels, Stopword Removal to filter out common words, Frequency Distribution and Word Count to an…

Machine Learning Model ARIMA (Autoregressive Integrated Moving Average).

The comparing website which will compare the products that you want to compare