rstudio regression

Understanding of linear regression, logistic regression and general regression"Please specify the source when reproduced": Http://www.cnblogs.com/jerryleadJerryleadFebruary 27, 2011As a machine learning beginner, the understanding is limited, the expression also has many mistakes, hope that everybody criticizes correct.1 SummaryThis report is a summary and unders

First Note: R is the operating environment, Rstudio is the development tool. Rstudio is designed to facilitate the use of R language, he can facilitate the editing of code, debugging and graphics display. So you have to install R.In addition to see the other online tutorials have said the installation path to pure English, pay attention to the next. The general installation development environment is in the

0. Coordination of remote R scripts is required due to work relationships 1. register the username on GitHub and select create repository to create a repository. 2. GitHub shows: Create a new repository on the command line Touch readme. mdgit initgit add readme. mdgit commit-M "first commit" Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-u origin master Push an existing repository from the command line Git remote add OriginHttps://github.com/norsd/NDAP.gitGit push-

This series of articles allow reprint, reproduced please keep the full text!"Total Catalog" http://www.cnblogs.com/tbcaaa8/p/4415055.html1. Poisson regression (Poisson Regression)In life, you often encounter a class of problems that need to model the number of occurrences of a small probability event over time, such as cancer, fire, etc.Assuming that vector x represents the factor that causes this event, ve

This article introduces the concepts of fitting and under-fitting, and introduces local weighted regression algorithms.Over fitting and under fittingBefore in linear regression, we always put the individual x as our characteristic, but in fact we can consider that even the higher times of x as our characteristics, then we will get through linear regression is a m

Original: http://www.cnblogs.com/jerrylead/archive/2011/03/05/1971867.html#3281650Understanding of linear regression, logistic regression and general regression"Please specify the source when reproduced": Http://www.cnblogs.com/jerryleadJerryleadFebruary 27, 2011As a machine learning beginner, the understanding is limited, the expression also has many mistakes, h

As a machine learning beginner, the understanding is limited, the expression also has many mistakes, hope that everybody criticizes correct. 1 Summary This report is a summary and understanding of the first four sections of the Stanford University Machine learning program plus the accompanying handouts. The first four sections mainly describe the regression problem, and regression is a method of supervised

Install R and RStudio Server on Ubuntu 16.04 LTSUbuntu 16.04 LTS installation R and RStudio Server1.R installation 1.1 first add the image source # Ctrl + Alt + T open the terminal $ sudo gedit/etc/apt/sources. list # a text box is automatically displayed after you press enter to add a new image source, and then enter the deb http://cran.rstudio.com/bin/linux/ubuntu trusty/in a similar area/ You can also

Tomorrow the first class 8.55 only, or the things you see today to tidy up.Today is mainly to see Ng in the first few chapters of the single-line regression, multi-linear regression, logistic regression of the MATLAB implementation, before thought those things understand well, but write code is very difficult to look, but today, Daniel's code found really easy ..

Although some of the content is still not understood, first intercepted excerpts.1. Variable selection problem: from normal linear regression to lassoNormal linear regression using least squares fitting is the basic method of data modeling. The key point of the modeling is that the error term generally requires an independent distribution (often assumed to be normal) 0 mean value. The T-test is used to test

Origin R installation is complete, can't restrain, must write something to play.Then by the way during the use of the process, see what pits can be trampled, by the way record. Real Exercise The first step, of course, is to enter the Rstudio, login process problems can be seen in a blog post. The second step is to import the data. But when importing data, an error. Of course, just install sure there are all kinds of packages and environment not, so n

+shift+l Command+shift+l Check Package Ctrl+shift+e Command+shift+e Plots Description Windows Linux Mac Previous plot Ctrl+shift+pageup Command+shift+pageup Next plot Ctrl+shift+pagedown Command+shift+pagedown Show Manipulator Ctrl+shift+m Command+shift+m Git/svn Description Windows Linux M

operator Ctrl+shift+m Command+shift+m 　 　 　 Git/svn Description Windows Linux Mac Compare Current source files Ctrl+shift+d Command+shift+d Submit Changes Ctrl+shift+m Command+shift+m Scroll to see the different Ctrl+up/down Ctrl+up/down Stage/unstage (Git) Spacebar Spacebar Stage/unstage and Move next (Git) E

(i) Recognition of the returnRegression is one of the most powerful tools in statistics. Machine learning supervised learning algorithm is divided into classification algorithm and regression algorithm, in fact, according to the category label distribution type is discrete, continuity and defined. As the name implies, the classification algorithm is used for discrete distribution prediction, such as KNN, decision tree, naive Bayesian, AdaBoost, SVM, l

I. Using Rstudio to connect MySQL database We often store a large amount of data in a database such as MySQL, so as to facilitate our data extraction and operation, and many times when we use R for data analysis, we usually want R to directly and MySQL database connection, so that we directly to the large-scale data processing. Of course, the data stored in MySQL is structured. Some friends will encounter some problems when using R to connect database

+shift+l Command+shift+l Check Package Ctrl+shift+e Command+shift+e Plots Description Windows Linux Mac Previous plot Ctrl+shift+pageup Command+shift+pageup Next plot Ctrl+shift+pagedown Command+shift+pagedown Show Manipulator Ctrl+shift+m Command+shift+m Git/svn Description Windows Linux M

(i) Recognition of the returnRegression is one of the most powerful tools in statistics.Machine learning supervised learning algorithm is divided into classification algorithm and regression algorithm, in fact, according to the category label distribution type is discrete, continuity and definition.Name implies. Classification algorithm is used for discrete distribution prediction, such as KNN, decision tree, naive Bayesian, AdaBoost, SVM, logistic

Document directory Estimated simple regression equation, estimation of simple regression equations Coefficient of determination, coefficient of determination Significance test for Linear Regression: Significance Test of Linear Regression Confidence Interval for linear regress