一些常用的机器学习算法实现
总体均值、总体方差
样本均值、样本方差
无偏估计、有偏估计
样本标准差
样本协方差、协方差矩阵
Apriori 算法
DesicionTree 算法
HMM模型 Viterbi 算法
针对文本分类的 NaiveBayes 算法
针对文本分类的 LogisticRegression 算法
线性回归算法:
标准的线性回归
局部加权线性回归
岭回归
Keras [1]
TensorFlow [1] [2]
sklearn [1]
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in P...
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 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。
🌎 I created this repository for educational purposes. It will host a number of projects as part o...
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and proje...
The deeplearning algorithms implemented by tensorflow
Showcase some machine learning algorithms.