handson-ml3
https://github.com/ageron/handson-ml3
Jupyter Notebook
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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- Issues
- [BUG] Chapter 2, CV splits are not random as opposed to what is written
- [IDEA] Chapter 2, Add code demonstrating HalvingRandomSearchCV
- [BUG] Ch07 - Bagging and Pasting in Scikit-Learn, import numpy
- Fix feature_names_in_ attribute for knn_transformer in exercise 4
- Corrected the solutions of chapter 7 exercises 6 and 7
- [QUESTION] Chapter 14: Asking about GoogLeNet's archietcture
- Fix Model Fit Error for : Compiling Functional API with Aux Output with one loss function
- Update 15_processing_sequences_using_rnns_and_cnns.ipynb
- Chp 10 Ex10 : keras tuner implemented in exercise
- Update deprecated field as per https://scikit-learn.org/stable/module…
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