搜索资源列表
KNN
- 《机器学习实战》K近邻算法的代码实现以及数据，真实可靠，欢迎使用-" Machine learning real" K nearest neighbor algorithm code and data, real reliable, welcome
machinelearninginaction
- 目前市面上机器学习最为畅销《机器学习实战》书籍上全部源代码-Selling machine learning combat all the source code
Ch02
- python编写的机器学习算法，为机器学习实战的第二章的源代码，包括第二章用到的数据-Machine learning algorithms written in python for machine learning combat Chapter II source code, including the data used in the second chapter
Ch03
- 这是用python编写的机器学习实战这本书的第三章的源码，包括里面的事例和用到的数据-It is written in python machine learning real source of this book chapter III, including the inside of the case and the use of data
Ch04
- 这是用python编写的机器学习实战这本书的第四章的源码，包括里面的事例和用到的数据-It is written in python machine learning real source of this book chapter IV, which includes examples and data used
kNN
- 机器学习实战中，K近邻算法的实现。包括算法实现，算法分类测试-Machine learning combat, the realization of K nearest neighbor algorithm. Including the algorithm, the algorithm classification test
bayes
- 机器学习实战中，实现贝叶斯分类算法。包括算法的实现，必要的注释，分类测试-Machine learning actual combat, achieve Bayesian classification algorithm. Including the implementation of the algorithm, as required notices, classification test
svmMLiA
- 机器学习实战中，SVM向量机算法的实现。包括必要的注解、分类效果的测试-Machine learning actual combat, achieve SVM vector machine algorithm. Including tests necessary notes, classification effect
KNN
- k临近算法，用于数据分类，此代码为机器学习实战的学习代码(K near algorithm, for data classification, this code for machine learning combat learning code)
机器学习实战及配套代码
- the code of Machine learning and actual combat
kNN
- kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
myBayes
- 这个是本人自己写的朴素贝叶斯算法，参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
机器学习实战及配套代码
- 这个程序对于凑作业还是很好的,matlab(very good programe for your homework)
Programming.Collective.Intelligence源代码
- 机器学习实战，人工智能学习，Java源代码(artificial intelligence technology)
svm
- 机器学习实战SVM源代码，支持向量机用以解决手写识别的问题。(Machine learning combat SVM source code)
textCNN_classfication
- kaggle机器学习实战代码，解决实战出现的问题(Kaggle machine learning combat code to solve practical problems,Realizing text classification)
textRCNN_classfication
- 知乎看山杯比赛，机器学习实战问题解决代码(Know about watching mountain cup competition, machine learning practical problem solving code)
svmMLiA
- 机器学习实战的SVN源码，适合用python学习机器学习算法的伙伴。(Machine learning combat SVN source code, suitable for Python learning machine learning algorithm partners.)
kMeans
- K-means 的python实现，源码，机器学习实战的第10章(Python implementation of K-means)
apriori
- apriori的python实现，源码，机器学习实战的第11章(Python implementation of apriori)