In Machine Learning, predicting the future is very important. How Does it Work? Python has methods for finding a relationship between data-points and to draw a line of linear regression. We will show you how to
1defclassifyVector(inX,weight):#输入测试带测试的向量 返回类别2prob = sigmoid(sum(inX *weight))3ifprob > 0.5:4return1.05else:return0.06defcolicTest():7trainingSet ,trainingSetlabels =[],[]8with open("horseColicTraining.txt") as frTrain:9forlinesinfrTrain.readlines():10currtline = lines....
1#!/usr/bin/python2#-*- coding: utf-8 -*-3#noooop45importnumpy as np6importmatplotlib.pyplot as plt78defbatchGradientDescent(theta, X, Y, costFunc, partialDerivativeFunc, delta=0.00001, maxIterations=100000, learningRate=0.001):9cost =[costFunc(theta, X, Y), ]10foriinxrange(maxItera...
ExampleGet your own Python Server See the whole example in action: import pandasfrom sklearn import linear_modeldf = pandas.read_csv("data.csv") X = df[['Weight', 'Volume']]y = df['CO2']regr = linear_model.LinearRegression()regr.fit(X, y)#predict the CO2 emission of a car ...
对象存储pythonmatlabnumpy g 代表一个常用的逻辑函数(logistic function)为S形函数(Sigmoid function),公式为: 公号sumsmile 2021/03/04 7090 Machine Learning Experiment 3: Linear Discriminant Analysis 详解+源代码解析 matlab L1=(X1*theta)/sqrt(theta(2)^2+theta(1)^2) 种花家的奋斗兔 2020/11/13 43...
机器学习基础算法python代码实现可参考:machine_learning_algorithms 1 原理 1.1 引入 线性回归是最为常用的一种数据分析手段,通常我们拿到一组数据后,都会先看一看数据中各特征之间是否存在明显的线性关系。例如,现在我们拿到了一组学校中所有学生基本资料的数据,该数据以二维表格的形式呈现,如下表所示。 示例数据表 每...
机器学习基础算法python代码实现可参考:machine_learning_algorithms 1 原理 1.1 引入 首先,在引入LR(Logistic Regression)模型之前,非常重要的一个概念是,该模型在设计之初是用来解决0/1二分类问题,虽然它的名字中有回归二字,但只是在其线性部分隐含地做了一个回归,最终目标还是以解决分类问题为主。 为了较好地掌握 ...
机器学习算法python实现. Contribute to ChulanZhang/MachineLearning_Python development by creating an account on GitHub.
机器学习算法python实现. Contribute to goodaddy/MachineLearning_Python development by creating an account on GitHub.