A comprehensive reference for all topics related to Natural Language Processing

Projects and useful articles / links

Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms

Machine translation using the seq2seq model

This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI

An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy

Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Document based ChatGPT

Ambiente de Desenvolvimento Integrado (ADI) contando com um explorador de arquivos, editor de código, compilador e outros.

This project was done as a part of my internship at Bennet University for in May-June 2020.

Training Word2Vec models in Java and Python 3

School assignment for text analytics

A prototype legal text search engine that uses a semantic search algorithm in order to find related keywords and sort the results by relevance.

Sentiment Analysis on Twitter Data . Classifying them based on polarity into positive, negative and neutral Using Classical Machine Learning methods.

Various experiments in parsing and natural language processing in the Forth language for the Apple II

WebScrapeSummarizer 🌐✍️: A web tool that fetches and summarizes content from any domain, offering insights in a compact CSV format.

🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains