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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 Modeling
Predictive 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 Modeling
Data Analysis and Manipulation
Visualization
Statistics
Hypothesis Testing
Pre requisites for taking this course
The pre requisites for this course includes a basic statistical knowledge and details on software like SPSS or SAS or STATA.
Target Audience for this course
This course is more suitable for students or researchers who are interested in learning about predictive analytics.
Predictive Modeling Course Objectives
After the completion of this course you will be able to
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
Everything You Need to Know About Predictive Analytics Model for Term Deposit Investment in R
This course is a comprehensive and well-structured introduction to Predictive Analytics Model for Term Deposit Investment in R. The instructor, EDUCBA Bridging the Gap, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Predictive Analytics Model for Term Deposit Investment in R. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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