This project is based on the book "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd edition)" by Aurélien Géron. The goal of this project is to teach the fundamentals of Machine Learning using Python. It includes example code to help you gain a deeper understanding of the material presented in the book.
This repository is a companion resource for the third edition of the book "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow". The project is intended for educational purposes, helping you to learn and apply Machine Learning techniques using the Python programming language and popular libraries such as Scikit-Learn, Keras, and TensorFlow.
To use the code and resources in this repository, you will need to have Python installed on your machine, along with the necessary libraries. Follow these steps:
- Clone the repository:
git clone https://github.com/Ivan-Grigorev/Hands_On_ML_3.git cd Hands_On_ML_3 - Install the required packages:
pip install -r requirements.txt
You can run the example code and exercises by navigating to the appropriate directory and executing the Python scripts or Jupyter notebooks.
Example:
cd Hands_On_ML_3
jupyter notebookOpen the corresponding notebook to explore the concepts discussed in that chapter.
This project is licensed under the MIT License.
This project is intended to be used for educational purposes only. The code and resources provided are meant for learning and experimentation. While every effort has been made to ensure accuracy, it should be noted that the code may not be suitable for production environments.