资源列表
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型，验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
Keypad code for lab kit
- kjn,/m ,mkljnm/,m klnm.n'lkm, lknkln/lm
朴素贝叶斯
- 朴素贝叶斯算法，是十大最经典的数据挖掘算法之一(Naive Bayes algorithm, the most classic data mining algorithm)
multilinearreg
- 利用最小二乘法来对w和b进行估计。最小二乘法就是试图找到一条直线，使得所有样本到直线上的欧式距离之和最小。(The least squares method is used to estimate W and B. The least squares method is trying to find a straight line, so that the sum of Euclidean distance of all the samples to the line is minimum)
pi.py
- Reinforcement Learning policy iteration algorithm
MDP_vi.py
- reinforcement learning value iteration algorithm
ql_sarsa.py
- Reinforcement Learning, Q-learning algorithm, originally coded
基于matlab源程序公路运量预测
- 基于源程序的matlab神经网络对公路运量的预测(The prediction of highway traffic volume by matlab neural network based on source program)
75887956lbp
- 基于局部二值模式的人脸识别，可以参考进行学习，适合初学者(Face recognition based on LBP)
matlab-基本蚁群算法（TSP）（多点版）
- 蚁群算法解决TSP问题的matlab源代码(Ant colony algorithm to solve the TSP problem matlab source code)
ISODATA.cpp
- 实现了机器学习的经典算法ISODATA，由C++实现(ISODATA, a classical algorithm for machine learning, is implemented by C++)
xgboost
- 在数据挖掘的各种比赛中，学会使用xgboost这个神器是十分重要的，这个代码包括了这个示范代码(In the various competitions of data mining, it is very important to learn how to use the xgboost artifact. This code includes the demo code)