# introduction_to_ml_with_python

**Repository Path**: qiuxu-git/introduction_to_ml_with_python

## Basic Information

- **Project Name**: introduction_to_ml_with_python
- **Description**: Notebooks and code for the book "Introduction to Machine Learning with Python"
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-08
- **Last Updated**: 2021-04-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Introduction to Machine Learning with Python

This repository holds the code for the forthcomming book "Introduction to Machine
Learning with Python" by [Andreas Mueller](http://amueller.io) and [Sarah Guido](https://twitter.com/sarah_guido).
You can find details about the book on the [O'Reilly website](http://shop.oreilly.com/product/0636920030515.do>).

The books requires the current development version of scikit-learn, that is
0.18-dev.  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](https://en.wikipedia.org/wiki/Hellbender)

![cover](cover.jpg)