Introduction To Ml With Python 01 Introduction Ipynb At Main Github

There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. This repository holds the code for the forthcoming book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. You can find details about the book on the O'Reilly website.

The book requires the current stable version of scikit-learn, that is 0.20.0. Most of the book can also be used with previous versions of scikit-learn, though you need to adjust the import for everything from the model_selection module, mostly cross_val_score, train_test_split and GridSearchCV. This repository provides the notebooks from which the book is created, together with the mglearn library of helper functions to create figures and datasets. For the curious ones, the cover depicts a hellbender. All datasets are included in the repository, with the exception of the aclImdb dataset, which you can download from the page of Andrew Maas. See the book for details.

There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

People Also Search

• introduction_to_ml_with_python/01-introduction.ipynb at main - GitHub
• introduction_to_ml_with_python-book/01-introduction.ipynb at main ...
• Introduction to Machine Learning with Python - GitHub
• ml_tutorial/01_Introduction_to_Machine_Learning.ipynb at main ... - GitHub
• ml_course/1_intro_to_python/0_intro_to_python.ipynb at main ... - GitHub
• lesson_1.ipynb - Colab
• Introduction_to_Machine_Learning.ipynb - Colab
• Chapter 1 - Introduction to Machine Learning.ipynb - Colab
• Lab 1 - Tutorial.ipynb - Colab
• 01_Introduction_Python.ipynb - Colab