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.
Added a cell in "Chapter13/Text Processing". This would explain the output of `text_vec_layer(["Be good!", "Question: be or be?"])`. I suggest adding it to the PDF version as well. ```py >>>...
Figure 4-14 was below the Polynomial Regression section but had to be below the Learning Curves section. It has been corrected.
I'm a bit confused about the **"Encoding Categorical Features Using Embeddings"** on Chapter 13, There you provided an example about encoding a categorical data, and said that 50,000 one-hot encoded...
Hi Aurélien, **Describe the bug** Chapter 2, page 75. When I run a piece of code word for word from the book, I obtain an error. **The code** ```python df_output...
Hi, in chapter 9 it mentioned about active learning but without examples, I'm wondering if there is any recommendation on active learning? tutorial/examples? Thanks!!!
numpy 1.23, listed in environment.yml, requires ravel() method along with y_train. Seems that a column vector needs explicit raveling.
In Chapter 11, cells 46 and 48 are the same. When I assume cell 46 should be SGD without momentum, and 48 with momentum.
When i run the code in cell 50, I am getting a entirely differnt forecast.. which is actually quite away from the actuals. What can be the reason ? ...
I just installed everything using the related conda environment. Everything works fine, except for when using fetch_california_housing. As in the line housing = fetch_california_housing() The error I get is: ```...
The field of graph representation learning has grown at an incredible and sometimes unwieldy pace over the past few years, and a lot of new algorithms and innovations were made...
