Naive Bayes comparison and learning curves
APACHE-2.0 License
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automa...
[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
Fast and Timeout-Free Automated Machine Learning for Multi-Class classification, Multi-Label clas...
Practical exercises from the Machine Learning course
一些常用的机器学习算法实现
Scikit-learn compatible estimation of general graphical models
Some fundamental machine learning and data-analysis techniques are explained through realistic ex...
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
A python library to build Model Trees with Linear Models at the leaves.
The official Learning Curve Database package
Implementations of the machine learning algorithm with Python and numpy
Implementation of different ML Algorithms from scratch, written in Python 3.x
A repository for recording the machine learning code
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。