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Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dic
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广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
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斯坦福深度学习教程中关于softmax regression的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on softmax regression code, source code need to fill all places, all the full complement of the code, the handwriting recognitio
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线性回归的学习算法。包括数据分析、线性回归、在线梯度下降、多项式回归。压缩包中给出.txt数据文件及说明文档。-Linear regression learning algorithm. Including data analysis, linear regression line gradient descent, polynomial regression. Compressed data given .txt file and documentation.
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机器学习算法，预测数值型回归，岭回归和逐步线性回归-Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression
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使用神经网络进行机器学习 神经网络 机器学习 误差反传训练算法-Using neural networks for machine learning neural network machine learning error back propagation training algorithm
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Stanford机器学习练习2
线性回归
包含代码和讲解-Stanford Machine Learning Practice 2 contains the code and explain linear regression
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Stanford机器学习练习3
regularized linear regression
包含代码和讲解-Stanford Machine Learning Exercise 3 regularized linear regression contains the code and explain
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高斯过程回归及分类的代码，内容全，有实例，注释清晰。包括分类系列和预测回归系列，值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interest
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Machine Learning Regression (SVMs)
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用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
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斯坦福大学机器学习课程作业第二章，主要包含逻辑逻辑回归算法实战。-Stanford University machine learning course of the second chapter, including logic logic regression algorithm combat.
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斯坦福大学机器学习课程作业第五章，主要包含加正则项的线性回归算法实战。-Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
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机器学习中的一种对数据进行分类的模型，非常好用，可以运行，推荐下载。(A machine learning model for data classification, very easy to use, you can run, it is recommended to download.)
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一个简单机器学习的范例,内涵基本数据，初学者必备(Examples of simple machine learning)
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人工智能课程的KNN算法实现，包括回归和分类。(Artificial intelligence curriculum KNN algorithm, including regression and classification.)
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machine learning logestic regrassion second code
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classfication and regression tree
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线性回归梯度下降法程序，用python实现adagrad梯度下降法(Linear regression gradient descent method, using Python to achieve adagrad gradient descent method.)
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用于深度学习 循环神经网络等，方法是分类与回归(Classification and regression of deep learning)
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