Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone
The code here is the latest/greatest version. Updated releases are planned annually in August. The version here has been updated to work with the most recent versions of its dependencies (e.g., scikit-learn and pandas). If you want a quick link to the latest release (with convenient downloads), click here.
If you want the exact version of the code that came with the book, you'll want the 1.0 release which you can
See make_environments.md (here) for details.
Here are the versions of important packages as of the Nov. 2020 code update. As a reminder, you can install specific versions of packages using anaconda/conda as documented here. For example, conda install scikit-learn=0.23.2.
My plan is to update the book software to the most recent versions of software around once a year (likely near August/September). This year (2020), that slipped a bit. Sorry.
I'll update the software versions listed here when I do so. The full list of package versions is available in book_base_2020_env.yml produced by conda env export > book_base_2020_env.yml.
matplotlib 3.3.2
numpy 1.19.2
opencv 3.4.2
pandas 1.1.3
patsy 0.5.1
pymc3 3.9.3 (conda-forge)
py-xgboost 0.9
scikit-learn 0.23.2
scipy 1.5.2
seaborn 0.11.0
statsmodels 0.12.0
tensorflow 1.14.0