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JRGautam123/README.md

πŸ’« About Me:

Backend Engineer & AI Enthusiast
Building scalable APIs with Django & DRF.
Experienced in IoT data pipelines, ETL, and production backend systems.
Strong foundation in Machine Learning with solid math fundamentals.

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πŸ’» Tech Stack:

C C++ JavaScript Python Django DjangoREST Nginx Gunicorn Postgres MySQL SQLite Redis MicrosoftSQLServer Matplotlib NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Keras GitHub Git GitHub Actions Testing-Library Arduino Postman

πŸ“Š GitHub Stats:



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  1. Machine-Learning-with-scikit-learn-and-Keras Machine-Learning-with-scikit-learn-and-Keras Public

    Jupyter Notebook 1

  2. Handling-missing-values Handling-missing-values Public

    This repo explores the various ways for handling missing data in dataset. It includes techniques to handle both Numerical and Categorical Data with example

    Jupyter Notebook

  3. Gradient-Descent-from-Scratch Gradient-Descent-from-Scratch Public

    Jupyter Notebook 1