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ml-kartik/README.md

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What I'm working on

  • Building Machine Learning & Data Science projects from scratch
  • Learning Deep Learning, Neural Networks & AI systems
  • Improving problem solving with Python and real datasets
  • Growing my portfolio for internships & opportunities

Highlights of My Work:

kartik@github
------------------
       OS  : Windows x64
    Shell  : PowerShell
 Terminal  : VS Code
Dev Env    : Python + Jupyter
Languages  : Python, SQL
Libraries  : NumPy, Pandas, Matplotlib, Seaborn
ML Stack   : Python, NumPy, Pandas, Scikit-learn, PyTorch
Interests  : Machine Learning, Deep Learning, Gen AI
     Goal  : AI Engineer 🚀

Some ML Stack I work with:


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  1. Linear-Regression-Model Linear-Regression-Model Public

    Built Linear Regression from scratch using Python & NumPy, implementing gradient descent, MSE, and parameter updates without Scikit-learn to understand core ML concepts.

  2. Celebrity-Face-Recognition-using-Machine-Learning Celebrity-Face-Recognition-using-Machine-Learning Public

    A machine learning web app that classifies celebrity faces from uploaded images using image preprocessing, face/eye detection with OpenCV, feature extraction using wavelets, and classification mode…

    Jupyter Notebook

  3. Cross-Validation-Score-Testing-of-Different-Models Cross-Validation-Score-Testing-of-Different-Models Public

    Compare multiple machine learning models using Cross Validation Score to evaluate performance consistently and reduce overfitting risk. This project tests different algorithms on the same dataset, …

    Jupyter Notebook

  4. Machine-Learning-Preprocessing-Outlier-Detection Machine-Learning-Preprocessing-Outlier-Detection Public

    A practical data science project demonstrating outlier detection and preprocessing using Python, Pandas, NumPy, Matplotlib, and statistical techniques like Z-Score, Percentile, and IQR. Includes re…

    Jupyter Notebook