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WordCloud利用杂记

接下来是一些WordCloud包的利用杂记from wordcloud import WordCloud‘’‘ 引入jieba包对文本段进行合理切分’‘’import jiebaimport matplotlib.pyplot as pltfrom collections import Counter"""对于给定的一篇TXT来进行分析"""mylist = list(open(r'C:\Users\15850\PycharmProjects\untitled\BIG DATA BASICS

2020-09-16 16:02:57

Seabon包画图杂记

这边是一些Python的Seabon包画图的一些杂记"""使用scikit的鸢尾花数据集进行画图"""from sklearn.datasets import load_irisimport numpy as npfrom pandas import DataFrameimport pandas as pdfrom scipy import stats,integrateimport matplotlib.pyplot as plt"""使用pandas包将鸢尾花数据转换成Data

2020-09-15 13:29:50

机器学习笔记之Neural Networks (Deep Learning) MLPs

机器学习笔记之Neural Networks (Deep Learning) MLPsHere only discussed some relatively simple methods, namely multiplayer perceptrons for classifictaion and regressionMLPs are feed-forward neural networks.MLPs在python当中可以通过MLPClassifier和MLPRegressor来实现import mg

2020-08-20 16:11:06

机器学习笔记之Kernelized Support Vectors Machines

机器学习笔记之Kernelized Support Vectors Machines(这里书上说的太简略了,三脸懵逼)Kernelized support vector machines are an extension that allows more complex models that are not simply defined by hyper planes in the spaceAdding nonlinear features to representation of the

2020-08-18 17:31:57

机器学习笔记之Ensembles of Decision Trees

机器学习笔记之Ensembles of Decision TreesEnsembles are methods that combine multiple machine learning models to create more powerful models.Random ForestsRandom forests are one way to address the overfitting problem of Decision Trees.A random forest is ess

2020-08-17 16:37:33

机器学习笔记之DecisionTree

机器学习笔记之DecisionTreeClassificationWidely used models for classification and regression tasks. They learn a hierchy of if/else questions, leading to a decision.(总之来说就是通过一连串的是/否问题来进行区分,具体对数据来说就是大于小于某个值)A leaf of the tree that contains data points that

2020-08-14 17:00:45

机器学习笔记之Naive Bayes

机器学习笔记之Naive BayesA family of classifiers that are quite similar to linear models, but they train faster. Price for its efficiency is that these models often provide worse generalization performances.The reason that naïve Bayes models are so efficient i

2020-08-12 15:21:29

机器学习笔记之LINEAR MODELS

Linear Models for RegressionFor regression, general prediction formula should look like: y = w[0]*x[0]+w[1]*x[1]+…+w[p]*x[p]+bFor a data with a singLe feature, this formula would be y =b+w[0]*x[0]Linear Regression, also knowns as ordinary leat squ

2020-08-11 18:31:05

机器学习笔记之 K-NEAREST NEIGHBORS

机器学习笔记之 K-NEAREST NEIGHBORS主要教材是英文的,所以一般笔记直接写英文了不翻译*Two major types of supervised learning problems: classification & regressionclassification: predict a class label, which is a choice from a predefined list of possibilities.regression: predict a

2020-08-10 14:57:42

How to install Python3 on CentOS 7

How to install Python3 on CentOS 7Before installationYou need to install the dependent packages in order to let your python3 work perfectly after the installation.Enter those code in the terminal...

2018-10-17 04:47:51

How to install Centos 7 on the virtual machine of Windows

How to install Centos 7 on the virtual machine of WindowsBe ready(1) First, you need to download the VMware workstation. First, you need to download the VMware workstation.link: https://pan.baidu...

2018-10-16 05:00:31
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