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1. Tweet-clustering Tweet-clustering Public

   cluster tweets using the Jaccard Distance metric and the K-means clustering algorithm. This approach groups similar tweets together, which is useful for applications like trend analysis and content…

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2. Scinetific-Text-Summarizer Scinetific-Text-Summarizer Public

   This summarizer generates short summaries of scientific articles from Google Scholar using the power of the affordable GPT-3.5-turbo.

3. Book-Genre-Classifier Book-Genre-Classifier Public

   Have you ever tried to guess the genre of a book by reading its title? Well, in this project, I was trying to do it using a massive database of Books (their titles and genres), MLLib Spark, and the…

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4. DNA-Sequencing-using-K-mer-Counting-and-Machine-Learning-Techniques DNA-Sequencing-using-K-mer-Counting-and-Machine-Learning-Techniques Public

   Utilizing support vector machines, naïve bayes classification and neural networks to find which gives the best results of classification of DNA sequence data into 7 different protein classes.

5. SENTIMENT-ANALYSIS-OF-THE-IMDB-REVIEWS-USING-NEURAL-NETWORKS SENTIMENT-ANALYSIS-OF-THE-IMDB-REVIEWS-USING-NEURAL-NETWORKS Public

   In this project, I aimed to apply three variations of Neural Networks, Simple Neural Networks (NNs), Convolutional Neural Networks (CNNs), and Long Short-Term Memory Networks (LSTM), for the sentim…

6. RAG--based-Question-answering-chatbot- RAG--based-Question-answering-chatbot- Public

   RAG-based question answering chatbot using Deep Lake, LangChain, and GPT-3.5. This project builds a chatbot that retrieves relevant information from text datasets using vector embeddings and genera…

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