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Free Neural Network in R Course

Name: Neural Network in R
Rating: 4.61 (305 reviews)

Neural Network in R

4.61 Intermediate level 2.25 learning hrs 7K+ Learners

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Skills you will gain

Neural Network in R

Key Highlights

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About this course

R is a statistical programming language software environment. It was primarily developed to work with statistical computing and graphical visualization.

The R programming language is data analysts, data miners, and statisticians’ best choice because of its computational power. It carries out data analysis and performs statistical software development. Since the programming language provides so many exciting features, it is favored to work with data science and the reason why a good number of people want to learn it.

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Course outline

Introduction to Neural Network

Hands-on Part 1

Hands-on Part 2

Hands-on Part 3

Hands-on Part 4

Get access to the complete curriculum once you enroll in the course

View Full Course

Neural Network in R

4.61

2.25 Hours

Intermediate

7K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.61

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76%

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16%

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Rayhan Priyadinata

5.0

★★★★ ★

Indonesia

“Insightful and Well-Structured Course”

The course on Neural Networks in R exceeded my expectations. It provided a comprehensive overview of key concepts, and the hands-on exercises were very effective in reinforcing learning. The curriculum was well-designed, with a clear progression from basics to advanced topics. The examples and quizzes made the subject approachable and easy to understand. I would highly recommend this course to anyone interested in exploring machine learning concepts in R.

Manovathi JL

4.0

★★★ ★ ☆

India

“Neural Network in R: Course Insights”

It is easy to understand, and I practice more. I learn new things and gain knowledge.

2211CS020203- JAJALA SAI RAM

5.0

★★★★ ★

India

“The highlight of my learning experience was discovering how powerful and versatile R can be for building and training neural networks, even in a field typically dominated by other programming languages.”

I really enjoyed learning how to implement neural networks in R using packages like neuralnet and keras. The ability to build models in R, a language I was already familiar with for statistical analysis, made the learning curve less steep. I appreciated the simplicity of creating, visualizing, and evaluating neural networks within R's environment. This experience has broadened my understanding of how deep learning can be integrated into traditional data analysis workflows, and I look forward to further exploring R's capabilities in this area.

Putri Auliya

5.0

★★★★ ★

Indonesia

“Learning neural networks in R Studio was insightful, especially using libraries like caret and keras to build, train, and evaluate models effectively.”

What I liked most about learning neural networks in R Studio was the hands-on experience with libraries like caret and keras. It was rewarding to build, train, and visualize models, which helped me understand the concepts of neural networks more clearly. The ability to experiment with different datasets and see how the network adapts to complex patterns was especially fascinating. Additionally, R Studio's user-friendly interface and visualization tools made it easier to track the model's performance and improve it step by step.

Sina Mostafidi

5.0

★★★★ ★

“This course was so useful for me, and I have learned some features about neural networks.”

The knowledge I gained from this course has been incredibly valuable, and I have learned some features about neural networks that I find fascinating. I now understand the fundamental concepts, such as how neurons function as processing units and how they are interconnected to form complex architectures. The course covered various types of neural networks, including feedforward networks and convolutional neural networks, and their applications in tasks like image recognition and natural language processing.

Dwi Prima Rachmalia

5.0

★★★★ ★

Indonesia

“An Engaging Dive into Neural Networks”

The course on Neural Networks was incredibly engaging and informative. The instructor did a great job explaining complex topics like backpropagation, activation functions, and neural architectures in a simplified manner. The quizzes and assignments were well-designed, helping reinforce the concepts learned. I especially appreciated the hands-on examples, which made the learning process practical and relatable.

727822TUAM049 SANTHOSH.B

5.0

★★★★ ★

India

“Neural Network in R Neural Network in R”

I really enjoyed the introduction to Neural Networks and Deep Learning! The clear explanations of concepts like activation functions and backpropagation made complex ideas more accessible. The practical examples helped solidify my understanding, and I appreciated the focus on real-world applications. Learning about different architectures, especially Convolutional Neural Networks, was particularly exciting, as it highlighted their effectiveness in image recognition tasks. Overall, it provided a solid foundation for further exploration in the field!

Siddhi Gaikwad

5.0

★★★★ ★

India

“Good Understanding, Easy to Follow”

The review and explanation were effective, clear, and correct, especially for someone trying to understand cross-entropy loss in binary classification. Expanding on the application and introducing visualization would strengthen the explanation for a broader audience.

What our learners enjoyed the most

Skill & tools

61%

61% of learners found all the desired skills & tools

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 Neural Network in R free course?

Yes, you will get a certificate of completion for Neural Network 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 Neural Network in R course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Neural Network 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 Neural Network 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 Neural Network in R course?

Great Learning Academy provides this Neural Network 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 Neural Network 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 Neural Network 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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