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harishmuh/README.md

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πŸ‘‹ Hi there,

Nice to meet you, and thank you for visiting my GitHub! πŸ˜„

I am a data science instructor and life sciences researcher with an academic background spanning STEM, management, and microbiology. After contributing to multiple peer-reviewed papers, analyzing tissue structures, and examining bacterial pathogen and parasite dynamics in aquatic environments, I expanded my focus into advanced analytics. Today, I use my hybrid domain expertise to apply deep learning workflows to digital pathology and disease prediction.


πŸ“Š My Project Clusters

πŸ’‘ Key projects

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πŸ‘¨β€πŸ« Practical Data Science Tutorials for Beginners

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πŸ’» Tech stacks

Python MySQL Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub

GitHub Metrics


🀝 Let's Connect

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  1. AI-biomedical-research-and-disease-prediction AI-biomedical-research-and-disease-prediction Public

    Analytics and predictive modeling application on the health, biological and disease data

    1

  2. machine_learning_projects machine_learning_projects Public

    My machine learning project portfolio

    1

  3. AI-for-medicine-specialization---Coursera AI-for-medicine-specialization---Coursera Public

    Curated Assignments and labs from all courses in AI Medicine Specialization (2026 ver) offered by deeplearning.ai in Coursera

    Jupyter Notebook

  4. Deep-Learning-Specialization---Andrew-Ng Deep-Learning-Specialization---Andrew-Ng Public

    This repository contains curated resources and programming assignments from Deep Learning Specialization course by DeepLearning.AI (2026) - Prof. Andrew Ng

    Jupyter Notebook

  5. FREE-TUTORIALS_Data-Science-for-Beginners FREE-TUTORIALS_Data-Science-for-Beginners Public

    Data science lecture/bootcamp materials from basic Python programming, data analaysis, to machine learning tutorials

    4

  6. Machine-Learning-Specialization-Coursera Machine-Learning-Specialization-Coursera Public

    This repository contains curated resources, notebooks, and exercise solutions for Machine Learning Specialization course by Stanford Univeristy and DeepLearning.AI (2026) by Prof. Andrew Ng

    Jupyter Notebook 5