8. Overfitting in Linear Regression

Опубликовано: 08 Апрель 2015
на канале: Learn Analytics

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The video covers the concept of overfitting in Linear Models. Concepts of r-square inflation in training data with variable stuffing versus real life implementation are covered in the lecture.
Use of Adjusted R Square alongwith variable significance and selection are covered to guard against model overfitting.
An understanding of basic statistics including hypothesis testing, variable distributions, P value interpretation is a must to grasp the concepts discusses in this series. Please refer to the Basic Statistics lecture series - http://goo.gl/BqhMqs in order to cover these topics from ground up.

This playlist provides approximately 5 hours of our Analytics Training video series, the training covers Multiple Linear Regression using tools such as SAS, SPSS, Statistica and R using Rattle. For more information, please visit www.learnanalytics.in . For enquiries drop an email to [email protected] .
The objective of the training series is to prepare the student for a career in Data Analysis and the Analytics Industry in general. Please visit our website for further details.
If you wish to subscribe to our full Analytics Training module, please visit http://goo.gl/nIJJHg for our paid Youtube Channel which contains additional hours covering more extensive topics including Linear Regression/Logistic Regression, building and testing predictive models using Logistic / Decision Trees and Ensembling. All videos on our paid channel are available without advertisement interruptions and you can enrol for a 14 day free subscription trial. You pay only if you want to continue.
Additionally, you get access to the datasets discussed in the videos and all SAS Codes.