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Advanced Predictive Modelling in R | Predictive Modelling Techniques | What is Predictive Modelling

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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

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The topics related to ‘ The Whys and Hows of Predictive Modelling ‘ have extensively been covered in our course ‘ Advanced Predictive Modelling in R ’.
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