Predictive Analytics Model for Term Deposit Investment in R

Free Download Predictive Analytics Model for Term Deposit Investment in R
Published 10/2023
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 40m ) | Size: 1.45 GB

Learn Predictive Analytics Model using R from a case study
What you’ll learn
Understand how to use predictive analytics tools to solve real time business problems
Learn about predictive models like regression, clustering and others
Use predictive analytics techniques to interpret model outputs
Learn to analyzes the past performance to predict the future behaviour.
Requirements
The pre requisites for this course includes a basic statistical knowledge and details on software R
Description
Predictive analytics is an emerging strategy across many business sectors and they are used to improve the performance of the companies. Predictive modeling is a part of predictive analytics which is used to create a statistical model to predict the future behaviour. The predictive modeling can be used on any type of event regardless of its occurrence. The predictive model to be used for a particular situation is often selected on the basis of the detection theory. This chapter includes an overview of predictive analytics and predictive modeling. This chapter also includes examples of predictive modeling.Predictive Analytics and Modeling is the process of creating, testing and validating a model. It uses statistics to predict the outcomes. Predictive modeling has different methods like machine learning, artificial intelligence and others. This model is made up of number of predictors which are likely to affect the future results. Predictive modeling is most widely used in information technology.Uses of Predictive Analytics and ModelingPredictive modeling is the most commonly used statistical technique to predict the future behaviour. Predictive modeling analyzes the past performance to predict the future behaviour.Features in Predictive Analytics and ModelingData Analysis and ManipulationVisualizationStatisticsHypothesis TestingPre requisites for taking this courseThe pre requisites for this course includes a basic statistical knowledge and details on software like SPSS or SAS or STATA.Target Audience for this courseThis course is more suitable for students or researchers who are interested in learning about predictive analytics.Predictive Modeling Course ObjectivesAfter the completion of this course you will be able toUnderstand how to use predictive analytics tools to solve real time business problemsLearn about predictive models like regression, clustering and othersUse predictive analytics techniques to interpret model outputs
Who this course is for
This course is more suitable for students or researchers who are interested in learning about predictive analytics.
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