A collection of daily coding challenges focused on AI, NLP, and Python, showcasing practical implementations, problem-solving, and continuous learning.

This project performs Social Media Sentiment Analysis using NLP techniques including BERT, RoBERTa and a custom Hybrid Model. It classifies social media text into multiple emotion categories, enabling accurate sentiment understanding for real-world opinion .mining applications.

The repository contains all the codes of all practicals of DS (SL-3) lab for the AIDS branch. The codes are according to problem statements given in the syllabus of SPPU. Download code and practice them to score good in your practical exams :)

Using Sentiment Analysis and Machine Learning detecting hate Speech in Tweets . A text classification project that identifies racist or sexist tweets to support safer online communities.

NLP Projects for Data science

Vision Search Engine is a sophisticated and versatile search engine designed to provide highly accurate and efficient search capabilities. Leveraging a suite of advanced algorithms and techniques, this project is equipped to handle a wide array of search functionalities, ensuring precise and relevant results.

Sentiment Analysis in python

Perform sentiment analysis on the Large Movie Review Dataset using various machine learning algorithms and evaluate their performance.

💬 A hands-on collection of Jupyter notebooks exploring essential Natural Language Processing (NLP) concepts including tokenization, stop words, Bag of Words, TF-IDF, POS tagging, NER, SpaCy pipelines, stemming, lemmatization, and word embeddings with FastText and Gensim.

Jupyter notebooks on Natural Language Processing.

Developing word embeddings by using gensim on the Bundestagswahl 2025 election programs of cdu, gruene, spd and afd. Target is to enable a contextual synonym comparison accross the political parties of Germany