搜索资源列表
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
dbscan_
- 数据挖掘中DBSCAN聚类算法的实现，用python语言实现，亲测可用。-The realization of DBSCAN clustering algorithm in data mining, using Python language to achieve, pro test available.
kmeans
- 最简单易懂的聚类方法，用python实现k-means对数据的聚类-The most straightforward clustering method, using python to achieve k-means clustering of data
bikmeans
- 用python实现的二分k-means聚类方法，比k-means效率更高-With half of k-means clustering method python achieve higher efficiency than k-means
K-means
- 本程序是用python写的一个K均值算法，通过该算法可以学习一python实现算法的流程，以及学习该算法的使用。-The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm.
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
baseflight-master
- 用python语言实现了常用的概率算法，非常建议本科生在学习概率论的时候跑一跑这些算法，养成贝叶斯思维-Using python language commonly used probabilistic algorithms, highly recommended undergraduate study in probability theory, when these algorithms run a race, to develop Bayesian thinking
FP_Growth-python
- FP-Tree算法，用python实现的。-FP-tree algorithm implemented with Python.
LogisticRegression
- 本例是用Python写的简单的逻辑回归的例子，可以下载试试。-This case is an example of a simple logistic regression written in Python, you can download a try.
SVM-timeseries
- 基于SVM的时序序列预测，用python实现，内附测试数据，方便可用。-SVM prediction based on a timing sequence with python to achieve, enclosing the test data to facilitate available.
kNN
- 用python编写的knn算法，并将其应用到改进约会网站的配对效果和手写识别系统两个实例中。-Written in python knn algorithm and its application to improve the effectiveness and dating sites pairing handwriting recognition systems both instances.
svm_series
- 用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
SVR
- 用于回归的支持向量机程序，改程序用python语言编写，使用前需安装libsvm-Support vector machine for regression procedure, change program written in python, using libsvm before installation
python数据分析之金融欺诈行为检测
- 用python写的一个关于金融欺诈行为检测的数据分析程序，用的是回归预测模型(This is a data anlysis program for the detection of financial fraud, based on logistic regression model.)
日常运动数据分析
- 用anaconda内部的科学库进行分析运动数据，并能对数据进行分类。(Anaconda's internal science library is used to analyze the motion data and to classify the data.)
visualization
- 用Python实现数据可视化的一个小案例，数据来自金融(Using Python to achieve data visualization of a small case, data from the financial)
KNN，SVM，决策树，朴素贝叶斯
- 用python的sklearn包分类 简单的对数据进行分类(Sort with Python's sklearn package Simple classification of data)
emd1d
- 用python写的EMD分解，可以实现一维与二维分解(EMD decomposition written in Python)
Python for network worm
- 基于selenium的网络爬虫，主要是从网站爬取数据信息用来进行分析和挖掘潜在的商业价值(Internet worm based on selenium)
用Python写网络爬虫
- Python爬虫教程及项目实战，你值得拥有。(Python crawler tutorial and project practice)