Random Forest Algorithm Free Course
Random Forest
4.36
Beginner level
1.5 learning hrs
Instructor:
Mr. Bharani Akella
About this course
Machine learning is considered to be one of the most impactful technologies we have today. It sees its usage in almost all of the domains we have so it is equally popular among students, researchers, and professionals. I am sure you already know that a well-tuned machine learning model is very powerful and efficient at solving problems. Algorithms are what give this unmatched power to the world of Machine Learning. Random forest is one such popular algorithm that is used in multiple domains. As a learner, it is key that you understand how this algorithm works.
Check out our PG Course in Machine learning Today.
Course outline
Get access to the complete curriculum once you enroll in the course
4.36
Our course instructor
Mr. Bharani Akella
Data Scientist
Machine Learning Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is a random forest, and how does it works?
A random forest is a part of supervised machine learning calculation developed from decision tree calculations. This calculation is applied in different businesses like banking and web-based businesses to predict conduct and outcoming results. A random forest is a machine learning algorithm that is utilized to tackle regression along with classification issues. It uses ensemble learning, a strategy that consolidates numerous classifiers to give answers for complex issues.
Why is random forest good?
The decision trees risk overfitting as they will quite often tend to fit every one of the examples inside data used for training. The classifier will not overfit the model since the averaging of uncorrelated trees brings down the general difference and error in prediction. Random forest makes it simple to assess variable significance or commitment to the model.
Does random forest give profitability?
This random forest regression can be used in different projects like SAS, R & python. In a random forest regression model, each tree creates a particular prediction. The mean of prediction of every individual tree is the result of the random forest regression. This is indifference to the random forest classification method, whose result is controlled by the method of decision trees' class.
What is the difference between a decision tree and a random forest?
The fundamental distinction between the decision tree calculation and the random forest calculation is that building up the root nodes and isolating these roots is done randomly in the last option. The random forest utilizes the bagging technique to create the necessary predictions.
Is random forest deep learning?
The Random Forest algorithm and Neural networks from deep learning are various methods that adapt diversely however, can be utilized in particular comparable spaces. Random Forest is a strategy of ML, while Neural Organizations are selective to Deep Learning.
Will I get a certificate after completing this Random Forest free course?
Yes, you will get a certificate of completion for Random Forest 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 Random Forest course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Random Forest 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 Random Forest 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 Random Forest course?
Great Learning Academy provides this Random Forest 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 Random Forest 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 Random Forest course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
Recommended Free Machine Learning courses
FREE
FREE
FREE
FREE
Similar courses you might like
FREE
FREE
FREE
FREE
Related Machine Learning Courses
-
Johns Hopkins University
Certificate Program in AI Business Strategy10 weeks · Online
Know More
-
Walsh College
MS in Artificial Intelligence & Machine Learning2 Years · Online
Know More
-
MIT Professional Education
No Code and Agentic AI14 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
