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  1. Iris_EDA_Analysis Iris_EDA_Analysis Public

    Week 1 ML project – EDA, visualization, and classification of the Iris dataset using Python, pandas, seaborn, and scikit-learn.

    Jupyter Notebook 1

  2. Javascript-Calculator Javascript-Calculator Public

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  3. Netflix-Movies-TV-Shows-EDA Netflix-Movies-TV-Shows-EDA Public

    This project is part of my AI/ML Engineer Roadmap (Week 2) where I practice data exploration and visualization using real-world datasets. Week 1 → Iris Flower EDA Week 2 → Netflix Movies & TV Shows…

    Jupyter Notebook

  4. Math_Foundations_-Linear_Algebra_-_Stats- Math_Foundations_-Linear_Algebra_-_Stats- Public

    Week 3 of my AI/ML learning journey. Focused on math foundations with NumPy and Matplotlib — including matrix multiplication, vector operations, statistics, and data visualization.

    Jupyter Notebook

  5. Calculus-Probability-Foundations Calculus-Probability-Foundations Public

    Implemented gradient descent from scratch to predict sales using the Advertising dataset — exploring how calculus and probability drive ML optimization.

    Jupyter Notebook