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SachinLearns/README.md

Hi 👋, I'm Sachin Motwani

A Problem Solver and a Passionate AI Researcher from India

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I am a Machine Learning and Data Science enthusiast passionate about using AI to solve real-world problems. With a background in research, teaching, and analytics, I aim to contribute meaningfully to the field of AI while collaborating on impactful projects. 🚀

Core Areas of Expertise:

  • Machine Learning: Deep Learning, Generative AI, and Large Language Models (LLMs)
  • Data Analysis: Cytometry Data Analysis, Insight Development, and Statistical Modeling
  • Programming: Proficient in Python, C++, and tools for AI/ML workflows
  • Research: Passionate about cutting-edge AI applications and problem-solving

🌱 What I’m Currently Exploring:

  • Applying Machine Learning and Data Science to solve complex challenges and uncover actionable insights.

💬 Connect With Me:

Twitter LinkedIn Instagram Website

📫 Email Me:

⚙️ Languages and Tools:

Arduino C++ Git Linux MATLAB OpenCV Pandas Python PyTorch Scikit-learn Seaborn TensorFlow

🤝 Let’s Collaborate:

Feel free to reach out if you're interested in collaborating on meaningful AI projects!

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  1. Data_Science_Concepts Data_Science_Concepts Public

    A comprehensive collection of data science concepts, including mathematical proofs, theoretical explanations, and code implementations. Covers topics like probability inequalities, distributions, M…

    Jupyter Notebook

  2. NPTEL-ML_Datasets NPTEL-ML_Datasets Public

    This repository contains the datasets useful for tutorials running with NPTEL course titled 'Machine Learning in Hindi' taught by Prof. Anubha Gupta, IIIT-Delhi.

    1 1

  3. Earthmovers_Distance Earthmovers_Distance Public

    Jupyter Notebook

  4. many-to-one many-to-one Public

    This repository contains functions to perform different many-to-one mapping strategies.

    Python

  5. Data_Science_Project Data_Science_Project Public

    Jupyter Notebook

  6. File-Converter File-Converter Public

    To be used for converting between different file formats.

    Python