资源列表
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.
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
pca
- this code is a feature extraction method function.
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)
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
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
HMM_Timing-master
- HMM in R apply to chinese stocks
kalman
- 使用卡尔曼滤波进行位置预测，一共两种方法-Kalman filter location prediction
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.
PLS
- 带注释的PLS实例，包含数据，可直接运行。-PLS annotated examples, including data, can be directly run.
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
JITPLS
- 自己编写的Jist-in-time PLS,利用与待估计样本最相似的若干历史样本，建立PLS回归模型，改善模型泛化能力，包含数据，直接运行，亲测可用。-I have written Jist-in-time PLS, utilization and estimated to be most similar to sample a number of historical samples, PLS regression model to establish and improve the mode