Explaining Titanic hypothesis with decision trees decision trees are very simple yet powerful supervised learning methods, which constructs a decision tree model, which will be used to make predictions. The main advantage of this model is that a huma…
Text classifcation with Naïve Bayes In this section we will try to classify newsgroup messages using a dataset that can be retrieved from within scikit-learn. This dataset consists of around 19,000 newsgroup messages from 20 different topics ranging…
Image recognition with Support Vector Machines #our dataset is provided within scikit-learn #let's start by importing and printing its description import sklearn as sk import numpy as np import matplotlib.pyplot as plt from sklearn.datasets import fe…
sqlserver的学习成长之路,每一个技术的学习过程都是值得让人回味的,现在百度上关于sqlser的资料很多,但是都太杂,希望能为大家分享一点简单易懂的干货,跟大家一起进步学习. 一.建表 1.创建表stu_paper(各种常用的类型的字段都有) IF NOT EXISTS (SELECT * FROM SYSOBJECTS WHERE NAME = 'stu_paper' AND TYPE = 'U') BEGIN --问卷表 CREATE TABLE stu_paper( P_ID ,)…
1. 过拟合问题可以通过调整机器学习的参数来完成,比如sklearn中通过调节gamma参数,将训练损失和测试损失降到最低 2. 代码实现(显示gamma参数对训练损失和测试损失的影响) from __future__ import print_function from sklearn.learning_curve import validation_curve from sklearn.datasets import load_digits from sklearn.svm import S…
1.kfold:自己分样本来交叉验证迭代 导入模块:from sklearn.model_selection import KFold 参数: KFold(n_splits=3, shuffle=False, random_state=None) ''' n_splits : int, default=3 Number of folds. Must be at least 2. shuffle : boolean, optional Whether to shuffle the data bef…
1.导入模块 http://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html#sklearn.discriminant_analysis.LinearDiscriminantAnalysis from sklearn.discriminant_analysis import LinearDiscriminantAnalysis da = L…
转发说明:by majunman from HIT email:2192483210@qq.com 简介:scikit-learn是数据挖掘和数据分析的有效工具,它建立在 NumPy, SciPy, and matplotlib基础上.开源的但商业不允许 1. Supervised learning 1.1. Generalized Linear Models 1.1.1. Ordinary Least Squares最小二乘法 >>> from sklearn import…
