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Model Deployment in R

star 4.44  Intermediate level 1.5 learning hrs 1.5K+ Learners

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About this course

In this course we will discuss about Basics of Model Deployment. The key features important for any model Deployment Architcute will be discussed. Lastly two case studies, one on "Life expectency (EDA and Prediction)" and other on " Loan Delinquency Classification" will be talked about.

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Course outline

Case Study 1

In this chapter, you will understand basic terminologies and techniques and the working of Computer Vision with demonstrated code with a greyscale image sample. 

 

Case Study 2

 You will learn and understand the Keras programming part to train and classify the dataset in this chapter. 

 

Model Deployment Options

Architecture Comparison

Introduction to Hive Hands-On

Hive is a data warehouse used to support interaction between the user and HDFS. This course will give you a demonstration using sample problem statements for your better understanding.

What is Model Deployment

Key Features of Model Deployment Architecture

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Model Deployment in R

rating icon 4.44

1.5 Hours

Intermediate

1.5K+ learners enrolled so far

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Master in-demand skills & tools

Test your skills with quizzes

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“Model Deployment in R Course of Machine Learning”
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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Model Deployment in R free course?

Yes, you will get a certificate of completion for Model Deployment in R after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Model Deployment in R course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Model Deployment in R can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Model Deployment in R course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Model Deployment in R course?

Great Learning Academy provides this Model Deployment in R course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Model Deployment in R course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Model Deployment in R course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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