搜索资源列表
naivebeys
- 朴素贝叶斯实现文本的正负趋向性分析，使用python编的，可以通过编绎，很方便。-Naive Bayes text of the positive and negative trend analysis, using python compiled by unravel, very convenient.
2sum_hash
- 斯坦福机器学习公开课作业2sum的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class jobs 2sum job answer, python implementation, the results have been proven
algo0004
- 斯坦福机器学习公开课作业求逆序数的作业答案，python实现，运行结果已经经过验证-Stanford Machine Learning Homework publicly inverse number of job seeking answers, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业求最小割的作业答案，python实现，运行结果已经经过验证-Stanford Machine Learning Homework for the minimum cut open job answer, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业快速排序的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class jobs quicksort job answer, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业图的最小强联通的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class job the minimal intensity Unicom jobs answer, python implementation, the results have been proven
jieba
- jieba分词软件，是python下的开源分词软件，里面有使用例子，简单易用-jieba segmentation software, is under the open source python segmentation software, there are examples of the use, easy to use
NB
- 自己编写的朴素贝叶斯分类器，经实测效果不错，供文本分类的研究人员相互学习-I have written a naive Bayes classifier, measured results are good for text classification researchers learn from each other
dtree
- 一个决策树的代码，觉得不错，推荐一下，大家可以-A decision tree code, feel good, recommend
tic-tac-toe-python
- 基于遗传算法的井字棋不败策略搜索，找到全部独立765个状态之后的搜索-Tic Tac Toe game based on genetic algorithm search strategies unbeaten
similarity
- count the distance of word net
multiagent
- 实现了一个吃豆人小游戏的功能，使用了多种搜索算法，包括DFS以及BFS等-Implements a Pac-Man game features, using a variety of search algorithms, including DFS and BFS, etc.
webrobot
- web 聊天机器人, 基于django和conceptnet,目前还没有完全开发完成-web chat robot, based on django and conceptnet, not yet fully developed
linreg_logic_eg
- Demonstration of the Perceptron and Linear Regressor on the basic logic functions
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
Naive-Bayes
- 基本的朴素贝叶斯算法，使用python编写。执行效率一般。-The basic Bayesian algorithms, written using python. Efficiency in general.
softmaxregression
- softmaxregression，即多分类的逻辑斯特回归算法，python编写-softmaxregression, namely multi-classification logistic regression algorithm, python write
logisticregression
- 二分类logistic回归算法。通用性比较强-Binary logistic regression algorithm. Universal relatively strong
K-mean
- K平均算法，python编写,性能较好。通用性强-K-means algorithm, python write
20news_sample_noseed
- 文本分类算法，讲数据集20newsgroup分类。可自定义形式-Text classification algorithms, speaking dataset 20newsgroup classification. Customizable forms