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Week 05: Machine Learning Masterclass

A comprehensive 5-day Machine Learning curriculum designed for professional bootcamp students. This repository contains hands-on Jupyter Notebooks covering everything from fundamentals to advanced regression models.

🚀 Course Structure

  • Day 1: Machine Learning Fundamentals - AI vs ML vs DL hierarchy, recommendation systems, and decision trees.
  • Day 2: Exploratory Data Analysis (EDA) - Data cleaning and visualization using real-estate datasets.
  • Day 3: Data Preprocessing - Building production-grade Scikit-Learn pipelines.
  • Day 4: Linear Regression - Simple, Multiple, and Polynomial models with evaluation metrics.
  • Day 5: Logistic Regression & Bias-Variance - Classification, Sigmoid intuition, and model performance analysis.

🛠 Tech Stack

  • Python
  • Scikit-Learn
  • Pandas & NumPy
  • Matplotlib & Seaborn

📄 License

This project is licensed under the MIT License.


Built with ❤️ by HERE AND NOW AI

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