handson-ml3
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. (by ageron)
data
Datasets used in the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (by ageron)
handson-ml3 | data | |
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6 | 1 | |
6,411 | 60 | |
- | - | |
6.6 | - | |
1 day ago | about 2 years ago | |
Jupyter Notebook | ||
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
handson-ml3
Posts with mentions or reviews of handson-ml3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-03.
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Machine Learning Models: Linear Regression
Hands On Machine Learning 3rd Edition Github — https://github.com/ageron/handson-ml3/tree/main
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What is the difference between the 2nd and 3rd eds of Hands-On Machine Learning??
Changes between 2nd and 3rd edition
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A useful ML-geared linear algebra tutorial in Python
I’m reading Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron, and I noticed that he included a whole Jupyter Notebook on linear algebra in the book’s accompanying GitHub page. Given how frequently there seem to be people asking about where to learn linear algebra on here, I thought I’d share in case anyone finds it useful (there’s also a differential calculus notebook in there too, which is great).
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Mobile version of hands on ml
I think all of you know about hands-on machine learning. If not, this is what I am talking about: https://github.com/ageron/handson-ml3
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Cleared AWS Machine Learning - Specialty exam.. Happy to help!!!
Hands on ML by Aurélien Géron - A lot of people regard this as one of the best introductions to ML, and I won't disagree. There are very good Jupyter notebooks for all of the topics in the book. The only drawback to this book is that there's virtually no mention of AWS services - the author used to work for YouTube, so whenever he talks about cloud computing he references Google Cloud Platform services.
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Is it a good start for beginners? if not what would you recommend?
Not so much. The changes are documented here: https://github.com/ageron/handson-ml3/blob/main/CHANGES.md The repo also contains the code samples of each chapter for a more detailed comparison.
data
Posts with mentions or reviews of data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-03.
-
Machine Learning Models: Linear Regression
data = "https://github.com/ageron/data/raw/main/" life_satisfaction = pd.read_csv(data + "lifesat/lifesat.csv") X = life_satisfaction[["GDP per capita (USD)"]].values y = life_satisfaction[["Life satisfaction"]].values
What are some alternatives?
When comparing handson-ml3 and data you can also consider the following projects:
fastai - The fastai deep learning library