automl-in-action-notebooks

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

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

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