handson-ml3
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ageron
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.
Thanks for helping us improve this project! **Before you create this issue** Please make sure you are using the latest updated code and libraries: see https://github.com/ageron/handson-ml3/blob/main/INSTALL.md#update-this-project-and-its-libraries Also please make sure...
Page 45 says: >As will all estimators, it is important to fit scalers to the training data only: never use `fit()` or `fit_transform()` for anything else than training set. Could...
In the Multilabel Classification section, the following code generates a warning: ```python knn_clf.predict([some_digit]) ``` The warning is: ``` [c:\tools\Anaconda3\lib\site-packages\sklearn\neighbors\_classification.py:228](file:///C:/tools/Anaconda3/lib/site-packages/sklearn/neighbors/_classification.py:228): FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior...
Thanks for helping us improve this project! **Before you create this issue** Please make sure you are using the latest updated code and libraries: see https://github.com/ageron/handson-ml3/blob/main/INSTALL.md#update-this-project-and-its-libraries Also please make sure...
I am running cells from top till cell 5 and when running cell 5 with this code: ``` # extra code – this cell generates and saves Figure 5–1 import...
Code from Github that generates Fig 4-15:  It doe not have a label `0.30` as it is in book for the 0.30 probability boundary line (which is red).
Could you please explain difference in those 2 paragraphs?
Hi, on chapter 2, page 75 on this code: ```python df_output = pd.DataFrame(cat_encoder.transform(df_test_unknown), columns=cat_encoder.get_feature_names_out(), index=df_test_unknown.index) ``` I received an error like this: ```stacktrace NotFittedError Traceback (most recent call last) [](https://localhost:8080/#)...
`SGD`'s `decay` parameter is deprecated TF 1.11, so change `decay` to `weight_decay`. Thank you!
ugly proof: ------ loguniform pdf: x: [0.001, 1000] pdf = 1/(x*ln(1000/0.001)) loguniform cdf: x: [0.001, 1000] cdf value set: [0, 1] cdf = ln(x)/ln(1000/0.001) - ln(0.001)/ln(1000/0.001) inv(cdf): x: [0,1] inv(cdf)...
