handson-ml2

(★ 29,954)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

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Download Latest Version (.zip)
  • .gitignore
  • 01_the_machine_learning_landscape.ipynb
  • 02_end_to_end_machine_learning_project.ipynb
  • 03_classification.ipynb
  • 04_training_linear_models.ipynb
  • 05_support_vector_machines.ipynb
  • 06_decision_trees.ipynb
  • 07_ensemble_learning_and_random_forests.ipynb
  • 08_dimensionality_reduction.ipynb
  • 09_unsupervised_learning.ipynb
  • 10_neural_nets_with_keras.ipynb
  • 11_training_deep_neural_networks.ipynb
  • 12_custom_models_and_training_with_tensorflow.ipynb
  • 13_loading_and_preprocessing_data.ipynb
  • 14_deep_computer_vision_with_cnns.ipynb
  • 15_processing_sequences_using_rnns_and_cnns.ipynb
  • 16_nlp_with_rnns_and_attention.ipynb
  • 17_autoencoders_and_gans.ipynb
  • 18_reinforcement_learning.ipynb
  • 19_training_and_deploying_at_scale.ipynb
  • apt.txt
  • book_equations.pdf
  • changes_in_2nd_edition.md
  • environment.yml
  • extra_autodiff.ipynb
  • extra_gradient_descent_comparison.ipynb
  • index.ipynb
  • INSTALL.md
  • LICENSE
  • math_differential_calculus.ipynb
  • math_linear_algebra.ipynb
  • ml-project-checklist.md
  • README.md
  • requirements.txt
  • tools_matplotlib.ipynb
  • tools_numpy.ipynb
  • tools_pandas.ipynb

# Installation Guide

1. Get the code
git clone https://github.com/ageron/handson-ml2

Downloads the entire project code from GitHub to your computer.

cd handson-ml2

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker compose -f docker/docker-compose.yml up -d --build

Runs the command against the services defined in the compose file.

✅ Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

3. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
$ python -m ipykernel install --user --name=python3

Runs the Python script (or module).

$ jupyter notebook

Type this command into your terminal and run it.

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

4. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
cd docker

This project's files live in a subfolder, so move into it first.

make

Compiles the code based on the generated build configuration to produce an executable.

✅ If it finishes without errors, it worked. Try running the generated executable directly.

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