Boost Your Data Career with Predictive Analytics! Learn How ? | Edureka
Watch Sample Recording : http://www.edureka.co/about-advanced-predictive-modelling-in-r?utm_source=youtube&utm_medium=webinar&utm_campaign=apmr-19-03-2015 P...
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Watch Sample Recording : http://www.edureka.co/about-advanced-predictive-modelling-in-r?utm_source=youtube&utm_medium=webinar&utm_campaign=apmr-19-03-2015
Predictive modelling leverages statistics to predict outcomes.[1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place.
Edureka's Advanced Predictive Modelling in R course will cover different concepts of predictive modelling and almost all the forms of regression analysis with application. You will learn regression in detail including detailed understanding of various regression techniques using case studies. Also, you will be introduced to various other regression techniques which are used in industry. Overall, you will gain expertise in predictive modelling and forecasting. You will also get to implement one project towards the end of the course.
The Topics covered in the webinar are:
1.Advanced Predictive Modelling in R
2. Introduction to Predictive Modelling
3.Beyond OLS: How real life data-set looks like!
4.decoding Forecasting
5.How to Handle real life dataset: Two examples
6.How to Build Models in R: Example
7.Forecasting techniques and Plots
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would
prefer a hassle free and self paced learning environment, accessible from any part of the world.
The topics related to ' The Whys and Hows of Predictive Modelling ' have extensively been covered in our course ' Advanced Predictive Modelling in R ’.
For more information, please write back to us at sales@edureka.co
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
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