Random Forest

BY
Jigsaw Academy

Gain insight into the subject of decision trees by pursuing the Random Forest programme from Jigsaw Academy.

Mode

Online

Duration

1 Month

Fees

₹ 3300

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Conducted by Jigsaw Academy, the Random Forest certification course is worth not missing pursuing. Imparting an in-depth understanding of different tools and technologies used in Random Forest, the one-month course is definitely worth going for. The course can be finished in an online mode within a month. Only those candidates who have a basic informational knowledge of topics like statistics, machine learning, and R can participate.

The Random Forest training has been designed and conceptualized by experts in this industry. With the growth and advent of technology, it is essential to stay abreast with current developments in this industry. Random Forest Certification course by Jigsaw Academy will give immense exposure to the candidates and help them in learning algorithmic machine learning methods and several other subjects. 

The highlights

  • 1-month course duration 
  • 3 months of access duration 
  • Certification from Jigsaw Academy
  • Online learning mode

Program offerings

  • Mobile app access
  • Case studies
  • Faculty and technical support
  • Certification

Course and certificate fees

Fees information
₹ 3,300

To enrol for the course, participants need to pay the required Random Forest certification fee. The amount has been mentioned in the table below: 

Fee details for HR Analytics Course 

Type of Fee

Amount 

Programme Fees

Rs. 3300 plus taxes

certificate availability

Yes

certificate providing authority

Jigsaw Academy

Eligibility criteria

Educational Qualification

Some basic understanding of some concepts like machine learning, R language, and regression techniques.

Education

Participants applying for Random Forest Course Certification online must have a basic understanding of statistics. The candidates must also have basic learning about machine learning, regression techniques, classification and language of R. 

Certification Qualifying Details

Participants will be given a Random Forest certification by Jigsaw Academy, after applying and successfully clearing the course certification test. Students will get the certificate within a month of clearing the exam. 

What you will learn

R programming Machine learning

After completion of the Random Forest certification syllabus participants will master the following concepts:

  • The candidate can learn about the concept of decision trees in machine learning 
  • The programme will aid the candidate in mastering different subjects such as Support Vector Machines, Random Forest, and many others

The syllabus

An introduction to Random Forest

Rise of Ensemble Method

Hands-on session in R on Business Cases

Quizzes

Admission details


Filling the form

Candidates willing to apply for Random Forest classes admissions need to follow a series of steps that are given below:

Step 1: Candidates need to visit https://www.jigsawacademy.com/ml-algorithms-random-forest/

Step 2: They need to then click on Notify Me button.

Step 3: A form will appear wherein the participant needs to fill in his/her details and send it. 

Step 4: The officials will connect with the candidate as and when the programme information is available. 

How it helps

The Random Forest Certification Benefits are not just one in fact there are many. The candidates gain subjective know-how and expertise in the field of Random Forest, Bagging Methods, Boosting methods, and Support Vector Machines. The candidates will also gain access to the tools and techniques used for solving real-life situations. By knowing about decision trees, candidates can learn about regression and classification in much detail. Since Random Forest is a niche and specialised certification, having it mentioned in your profile can do wonders. The candidates can welcome lucrative job offers and job prospects.

FAQs

What is the total duration for completing this programme on Random Forest online course?

The Random Forest certification will take only 1 month to complete. Post that, the candidates can access the programme for 3 months.

What is the pedagogy for the programme?

Candidates pursuing Random Forest courses from Jigsaw Academy will experience an interactive session throughout the programme. The session will be conducted via case studies, mobile app access, technical support and faculty support. 

Are there any prerequisites for enrolling in this programme?

Participants applying for Random Forest Course Certification online must have a basic understanding of statistics. The candidates must also have basic learning about machine learning, regression techniques, classification and language of R. 

If I miss any of my class, will it create any impact on evaluations?

The programme Random Forest online course requires 100% attendance. In case the candidates do not attend the programme then they will not be given certification of participation. However, it is advised to seek prior approval before going for leave. 

What will be a part of the syllabus in the Random Forest syllabus programme?

The Random Forest programme will cover up areas related to Random Forest, Support Vector Machines, Bagging methods, Boosting, etc. 

How can I make the payment for this programme on Random Forest?

Currently, the programme is not accepting payments. Meanwhile, candidates can click on Notify Me tab and fill the form. The officials will then communicate all the details to the officials. 

What if I withdraw from the programme in between, will I get a refund of the money paid?

In case you want to back out from the programme, you will not receive the refund for the money paid. However, the academy will shift you to the next batch to pursue the programme. 

How will the programme be conducted?

The Random Forest programme has been designed in a way that it is conducted Online.

Will I need to come to campus to pursue this programme or I can take classes from anywhere I wish to?

Candidates willing to pursue this programme should have a laptop as the classes are 100% online. 

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