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abeed04/README.md

A passionate Data Scientist from India

  • 👨‍💻 I code in Python and i have experience in engaging with data analysis, machine learning and deep learning, data visualization, and descision making based on data.

  • 🌱 I’m currently learning Machine Learning, and Generative AI.

  • 🔭 I consider myself as a committed person, with good teamwork skills and adept at solution providing.

  • ⚡ I have always been enthusiastic about learning new technologies and discovering the best practices in any field I have worked in.

  • 👯 I’m looking to collaborate on Machine Learning projects.


⚒️ Languages-Frameworks-Tools ⚒️




snake eating my contributions
I love connecting with different people so if you want to say hi, I'll be happy to meet you more! 🤝

🐍 My Contributions 🐍

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  1. RAG-based-chat-with-pdf-using-llama3RAG-based-chat-with-pdf-using-llama3Public

    Turn your PDFs into a conversation with Llama3's RAG-powered chat.

    Python 1

  2. Bank-Credit-Risk-Model-using-Machine-LearningBank-Credit-Risk-Model-using-Machine-LearningPublic

    Robust credit risk model that go beyond traditional credit scoring methods in banks

    Jupyter Notebook 2

  3. Object-detection-model-using-Cv2Object-detection-model-using-Cv2Public

    Leverage OpenCV (cv2) to build an object detection system. This system would combine a pre-trained MobileNet model, trained on the COCO dataset, with a frozen inference graph for real-time object i…

    Python 1

  4. Sentiment-Analysis-using-Recurrent-Neural-NetworksSentiment-Analysis-using-Recurrent-Neural-NetworksPublic

    Bidirectional RNNs are used to analyze the sentiment (positive, negative, neutral) of movie reviews. .

    Jupyter Notebook 1

  5. Face-Recognition-using-Computer-Vision-Cv2Face-Recognition-using-Computer-Vision-Cv2Public

    OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.

    Python