资源列表
AI-Naive
- 利用Python实现朴素贝叶斯分类方法。实现程序具有普适性，同时附带测试数据。可以直接运行。-Python implementations utilizing Naive Bayes classification. Achieve universal program has also included with the test data. It can be run directly.
kalman
- 使用卡尔曼滤波进行位置预测，一共两种方法-Kalman filter location prediction
HMM_Timing-master
- HMM in R apply to chinese stocks
fastICA
- 快速ICA程序，打开直接进入ICA界面，导入数据即可进行计算-Fast ICA program, open directly into the ICA interface, you can import data to calculate
machineLearning_R
- 机器学习入门很好的代码，以电子商务案例进行实践，使用R语言实现-Getting good code machine learning, e-commerce case to practice using the R language
digit_recognizer_knn
- kaggle竞赛 数字识别 knn算法（不含数据）-kaggle contest knn digital identification algorithm (excluding data)
pca
- this code is a feature extraction method function.
plot_svm_anova
- plot_svm_anova机器学习中大数据挖掘python文件-Machine learning cuhk python file data mining
plot_cv_predict
- 等渗的插图对生成的数据回归。等张回归发现引入近似函数的同时最小化均方误差的训练数据。-An illustration of the isotonic regression on generated data. The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared error on the training data.
k_meansPP
- K-means++算法是K-means算法的一个改进算法，其中主要改进了k值的选取不会在影响聚类的效果，具有高度的自动性-K-means++ algorithm K-means algorithm, an improved algorithm, in which the major improvements k value does not affect the clustering effect, a high degree of automaticity
hctsa-master
- matlab，时间序列分析，分类，数据挖掘，聚类-time series classification
KMeans-master
- KMeans聚类算法的Java实现 KMeans聚类算法的Java实现-KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java