🧠 Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow

This repository contains my personal learning journey through the book “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron. I’m documenting my progress chapter by chapter — including all notebooks, code experiments, notes, and key takeaways — as I build a solid foundation in Machine Learning and Deep Learning.

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📚 Current Progress

• Chapter 1: The Machine Learning Landscape (I will share the notes soon)
• Chapter 2: End-to-End Machine Learning Project (Currently learning)
• (More chapters coming soon as I continue learning daily!)

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🧩 Folder Structure

Hand On Machine Learning with Scikit-Learn Keras and Tensorflow/
│
├── Chapter 1 - The Machine Learning Landscape/
│   └── notebooks, exercises, and notes
│
├── Chapter 2 - End-to-End Machine Learning Project/
│   └── code, data preprocessing, model training, evaluation
│
├── datasets/
│   └── housing.csv (or other datasets used)
│
└── README.md

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⚙️ Tech Stack

• Python
• NumPy
• Pandas
• Matplotlib
• Scikit-Learn
• TensorFlow / Keras
• Jupyter Notebook

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🎯 Goals

• Understand the core concepts of Machine Learning and Deep Learning.
• Build real-world ML projects from scratch.
• Document my daily learning progress in a structured way.
• Create a strong foundation before moving to advanced AI topics.

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🚀 How to Run

1. Clone the repository

   git clone https://github.com/<your-username>/Hand-On-Machine-Learning.git

2. Navigate to the project folder

   cd "Hand On Machine Learning with Scikit-Learn Keras and Tensorflow"

3. Install dependencies

   pip install -r requirements.txt

4. Open Jupyter Notebook

   jupyter notebook

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📅 Update Schedule

I’ll be updating this repo daily or weekly as I continue learning new topics and completing exercises from the book.

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🤝 Connect With Me

If you’re also learning ML, feel free to connect or collaborate!

Telegram: @krish_codes