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Achievement: Starstruck

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HelloSamved/README.md

💫 About Me:

🔭 I’m currently working on
Quantitative finance projects
Portfolio optimization, financial modelling & quantitative algorithms

👯 I’m looking to collaborate on
ML / Quant projects
Projects involving machine learning, mathematical modelling or quantitative finance

🤝 I’m looking for help with
Quantitative finance
Financial mathematics, stochastic modelling & quantitative methods

🌱 I’m currently learning
Linear algebra, probability & statistics, real analysis and quantitative finance

💬 Ask me about
Machine learning, neural networks from scratch & the mathematics behind ML

📫 How to reach me
samvedjain06@gmail.com

⚡ Fun fact
I asked ChatGpt to write all these above things for me.

🌐 Socials:

Instagram LinkedIn Reddit X

💻 Tech Stack:

CSS3 HTML5 Python TypeScript FastAPI Django Three js GitHub Actions GitHub PyTorch Pandas NumPy Matplotlib Keras TensorFlow scikit-learn Scipy Arduino

📊 GitHub Stats:



🏆 GitHub Trophies

💰 You can help me by Donating

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  1. learning-neural-network learning-neural-network Public

    A hands-on journey into Neural Networks, covering fundamental concepts, mathematical foundations, implementations from scratch, and practical deep learning projects.

    Jupyter Notebook 26 4

  2. Hands_on_machine_learning Hands_on_machine_learning Public

    This repository documents my progress through Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow. Each chapter includes hands-on implementations, completed exercises, and reproducible …

    Jupyter Notebook 3

  3. Deep_Learning Deep_Learning Public

    Jupyter Notebook

  4. Retail-Black-Friday-sales-analysis Retail-Black-Friday-sales-analysis Public

    End-to-end data analytics project on Black Friday retail sales data. Includes data cleaning, preprocessing, exploratory data analysis, business insight generation, and an interactive Power BI dashb…

    Jupyter Notebook 1

  5. leetcode_dsa leetcode_dsa Public

    Python 1

  6. Portfolio Portfolio Public

    TypeScript 2