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practice_hands-on-machine-learning_2019_by_aurelien-geron's Introduction

Practice_Hands-On-Machine-Learning_2019_By_Aurélien Géron

  • This repository contains my code practice of the chapters I've studied regarding the book entitled "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" (Released September 2019) by Aurélien Géron. The book has a total of 19 chapters (1-19).

Installation

  • Chapters 2-9:

    • Python 3 & Jupyter notebook need to be installed.

    • The Python libraries required are:

      • numpy
      • pandas
      • scikit-learn
      • scipy
      • matplotlib

    • These can be installed by running: pip install -r requirements_Chapters2-9.txt, in a terminal application.

  • Chapters 10-16:

    • Google Colaboratory can be used to run the notebooks corresponding to these chapters.

Download the data

  • Download the zip file associated with the repository. Unzip the file. You'll see a folder named "Practice_Hands-On-Machine-Learning_2019_By_Aurelien-Geron-master".

  • For Chapters 2-9 change directory into this folder via a terminal application, launch Jupyter notebook and run the notebooks.

  • For Chapters 10-16 open the notebooks in google colaboratory and run them.

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