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ml_demo's Introduction

ML_Demo

learn ML

  • 1，iris.py ：使用系统自带的数据集（花瓣），来调用knn，预测新的实例
  • 2， KNN.py:计算实例之间的距离
  • 3，AllElectronics.py:决策树Demo
  • 4, KNNImplementatimy.py:KNN算法的实现
  • 5，SKLearnsimple.py:使用sk_learn包实现svm算法
  • 6,SVMImplementation.py:使用svm做人脸识别
  • 7,NeuralNetwork.py神经网络预测方法
  • 8,nonlineartest.py 使用神经网络模型预测非线性
  • 9， handwrittennumber.py使用神经网络识别手写字体
  • 10 SLP.py简单线性回归
  • 11 MLR.py含有类别变量的多元线性回归
  • 12 LR.py不含有类别变量的多元线性回归
  • 13 ULR梯度下降算法，非线性逻辑回归

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