handson-mlp
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
파일 탐색기
최종 버전 다운로드 (.zip)- bug_report.yml
- clarification-request.yml
- config.yml
- feature-or-improvement-request.yml
- Dockerfile
- README.md
- california.png
- ladybug.png
- .dockerignore
- .gitignore
- .python-version
- 01_the_machine_learning_landscape.ipynb
- 02_end_to_end_machine_learning_project.ipynb
- 03_classification.ipynb
- 04_training_linear_models.ipynb
- 05_decision_trees.ipynb
- 06_ensemble_learning_and_random_forests.ipynb
- 07_dimensionality_reduction.ipynb
- 08_unsupervised_learning.ipynb
- 09_artificial_neural_networks.ipynb
- 10_neural_nets_with_pytorch.ipynb
- 11_training_deep_neural_networks.ipynb
- 12_deep_computer_vision_with_cnns.ipynb
- 13_processing_sequences_using_rnns_and_cnns.ipynb
- 14_nlp_with_rnns_and_attention.ipynb
- 15_transformers_for_nlp_and_chatbots.ipynb
- 16_vision_and_multimodal_transformers.ipynb
- 17_speeding_up_transformers.ipynb
- 18_autoencoders_gans_and_diffusion_models.ipynb
- 19_reinforcement_learning.ipynb
- Appendix_A_autodiff.ipynb
- Appendix_B_mixed_precision_and_quantization.ipynb
- Appendix_C_support_vector_machines.ipynb
- Appendix_D_relative_positional_encoding.ipynb
- Appendix_E_state_space_models.ipynb
- apt.txt
- CHANGES.md
- index.ipynb
- INSTALL.md
- LICENSE
- math_differential_calculus.ipynb
- math_linear_algebra.ipynb
- ml-project-checklist.md
- pyproject.toml
- README.md
- tools_matplotlib.ipynb
- tools_numpy.ipynb
- tools_pandas.ipynb
- uv.lock
// repository documentation
Was this content helpful?
(0 ratings)