automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Repository files navigation

automl-in-action-notebooks

About

Releases

Packages

Contributors 3

Languages

Name		Name	Last commit message	Last commit date
Latest commit History 260 Commits
data		data
src		src
.gitignore		.gitignore
2.2-House-Price-Prediction.ipynb		2.2-House-Price-Prediction.ipynb
3.1-House-Price-Prediction-MLP.ipynb		3.1-House-Price-Prediction-MLP.ipynb
3.2-MNIST-MLP-CNN.ipynb		3.2-MNIST-MLP-CNN.ipynb
3.3-RNN.ipynb		3.3-RNN.ipynb
4.2-Task-API-ImageClassifier-MNIST.ipynb		4.2-Task-API-ImageClassifier-MNIST.ipynb
4.3.1-Task-API-TextClassifier-20newsgroup.ipynb		4.3.1-Task-API-TextClassifier-20newsgroup.ipynb
4.3.2-Task-API-StructuredDataClassifier-Titanic.ipynb		4.3.2-Task-API-StructuredDataClassifier-Titanic.ipynb
4.3.3-Task-API-StructuredDataRegressor-California.ipynb		4.3.3-Task-API-StructuredDataRegressor-California.ipynb
4.3.4-Task-API-Multi-label.ipynb		4.3.4-Task-API-Multi-label.ipynb
4.4.1-IO-API-Image-Classification.ipynb		4.4.1-IO-API-Image-Classification.ipynb
4.4.2-IO-API-Multi-Input.ipynb		4.4.2-IO-API-Multi-Input.ipynb
4.4.3-IO-API-Multi-Output.ipynb		4.4.3-IO-API-Multi-Output.ipynb
5.2.1-Tuning-MLP-Structured-Data-Regression.ipynb		5.2.1-Tuning-MLP-Structured-Data-Regression.ipynb
5.2.2-Tuning-CNNs-Image-Classification.ipynb		5.2.2-Tuning-CNNs-Image-Classification.ipynb
5.3.1-Automated-Pipeline-Search-Image-Model-Selection.ipynb		5.3.1-Automated-Pipeline-Search-Image-Model-Selection.ipynb
5.3.2-Automated-Pipeline-Search-Image-Preprocessing.ipynb		5.3.2-Automated-Pipeline-Search-Image-Preprocessing.ipynb
5.4-Graph-Structured-AutoML-Pipeline-Multi-Input-Output.ipynb		5.4-Graph-Structured-AutoML-Pipeline-Multi-Input-Output.ipynb
5.5.1-Tune-MLP-with-customized-MLP-block.ipynb		5.5.1-Tune-MLP-with-customized-MLP-block.ipynb
5.5.2-Design-HyperBlock-for-model-selection.ipynb		5.5.2-Design-HyperBlock-for-model-selection.ipynb
6.1.1-Tuning-an-MLP-for-regression-with-KT.ipynb		6.1.1-Tuning-an-MLP-for-regression-with-KT.ipynb
6.1.2-Tuning-an-autoencoder-model-for-unsupervised-learning.ipynb		6.1.2-Tuning-an-autoencoder-model-for-unsupervised-learning.ipynb
6.2-Tuning-Shallow-Model-Keras-Tuner.ipynb		6.2-Tuning-Shallow-Model-Keras-Tuner.ipynb
6.3.1-Tuning-SKlearn-Model-with-Custom-KT-Tuner.ipynb		6.3.1-Tuning-SKlearn-Model-with-Custom-KT-Tuner.ipynb
6.3.2-Tuning-Keras-Model-with-Custom-KT-Tuner.ipynb		6.3.2-Tuning-Keras-Model-with-Custom-KT-Tuner.ipynb
6.3.3-Tuning-Both-Shallow-And-Deep-Model.ipynb		6.3.3-Tuning-Both-Shallow-And-Deep-Model.ipynb
6.3.4-Tuning-LightGBM-Models-with-Custom-Tuner.ipynb		6.3.4-Tuning-LightGBM-Models-with-Custom-Tuner.ipynb
7.2-Random-Searcher.ipynb		7.2-Random-Searcher.ipynb
7.3-Bayesian-Optimization.ipynb		7.3-Bayesian-Optimization.ipynb
7.4-Evolutionary-Search.ipynb		7.4-Evolutionary-Search.ipynb
8.1-Handling-large-scale-datasets.ipynb		8.1-Handling-large-scale-datasets.ipynb
8.2-Parallelization-on-multiple-GPUs.ipynb		8.2-Parallelization-on-multiple-GPUs.ipynb
8.3-Search-speedup-strategies.ipynb		8.3-Search-speedup-strategies.ipynb
Appendix-B.1-Image-Hand-Written-Digits-Recognition.ipynb		Appendix-B.1-Image-Hand-Written-Digits-Recognition.ipynb
Appendix-B.2-Text-20newsgroups.ipynb		Appendix-B.2-Text-20newsgroups.ipynb
Appendix-B.3-Tabular-Titanic.ipynb		Appendix-B.3-Tabular-Titanic.ipynb
LICENSE		LICENSE
README.md		README.md
requirements.txt		requirements.txt

License

datamllab/automl-in-action-notebooks

Folders and files

Latest commit

History

Repository files navigation

automl-in-action-notebooks

About

Resources

License

Stars

Watchers

Forks

Releases

Packages 0

Contributors 3

Languages

Packages