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gensim

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This repository contains deep learning resources and projects, including FreeCodeCamp certification challenge solutions, curated documentation, algorithm and library explorations, NLP implementations, and structured input-output experiments using Jupyter notebooks.

  • Updated Aug 2, 2025
  • Jupyter Notebook

💬 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.

  • Updated Jul 28, 2025
  • Jupyter Notebook

🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.

  • Updated Jun 2, 2023
  • Jupyter Notebook

A comprehensive set of Jupyter notebooks that take you from NLP fundamentals to advanced techniques. Covers text preprocessing, POS tagging, NER, sentiment analysis (with VADER), text classification, word embeddings, and transformer models like BERT. Built with real-world datasets using NLTK, spaCy, scikit-learn, and Hugging Face Transformers.

  • Updated Oct 11, 2025
  • Python

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

  • Updated Aug 25, 2025
  • Jupyter Notebook

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