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MrAnayDongre/README.md

@rphi's Holopin board

Machine Learning Engineer | 3X Kaggle Master

I specialize in building efficient ML solutions across computer vision, NLP, and big data applications. With hands-on experience in PyTorch, TensorFlow, and transformers, I’ve contributed to open-source projects, including Hacktoberfest. I also have research experience in machine learning, focusing on solving LLM hallucinations, RAGs, and more, while exploring edge computing and cybersecurity.

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  1. Machine-Learning-Collection Machine-Learning-Collection Public template

    Repo for Implementing Research Papers & Projects related to Machine Learning

    Python 9 4

  2. Semantic-Segmentation-using-U-Net Semantic-Segmentation-using-U-Net Public

    Implementing Semantic Segmentation on Satellite images using U-Net architecture

    Python 2

  3. Decentragram Decentragram Public

    This application is a decentralized version of instagram build using Ethereum & Metamask.

    JavaScript 3

  4. Parkinsons-DiseaseDetection Parkinsons-DiseaseDetection Public

    In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. We’ll load the data, get the features and …

    Jupyter Notebook 3

  5. DSBDA-MiniProject DSBDA-MiniProject Public

    This repository serves as DSDBA Mini-Project.

    Jupyter Notebook 3 3

  6. TransferLearning TransferLearning Public

    This project is in 'TensorFlow in Practice Specialization' where I've tried to improve the performance using transfer learning.

    Jupyter Notebook 1