Machine Learning: Decision Trees & Random Forests

Beginner to Advance 5 (1 Ratings) 95 Students Enrolled

ACCREDITED BY CPD

Machine Learning: Decision Trees & Random Forests

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£64.00

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Course Includes:

Accredited By: CPD
Course Level: Beginner to Advance
Course Duration: 365 Days
Number of Modules: 22
Guided Learning Hours: 4.5
Course Certificate: At completion
Assessment Included:
Course Material:

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Key Features

Asynchronous Learning

Easy Navigation

Support by Phone, Live Chat and Email

FREE Student ID Card

FREE Printed Certificates

What Will I Learn?

Design and Implement the solution to a famous problem in machine learning
Understand the perils of overfitting, and how random forests help overcome this risk.
Identify the use-cases for Decision Trees as well as Random Forests.
Identify key differentiating factors between the different classes of our data

Description

Decision trees and random forests are supervised learning algorithms used for both classification and regression problems. These two algorithms are best explained together because random forests are a bunch of decision trees combined. Decision trees use machine learning to identify key differentiating factors between the different classes of our data. By doing so, decision trees can take some input data and predict a class by running the data through a set of differentiating questions that it forms using machine learning.

Many of the advancements being made in the field of machine learning are taking place in the area of classification and thus, it is a fundamental concept that everyone studying and using machine learning must be able to understand and perform. In this course, you will learn how decision trees and random forests work as well as the critical points to consider when using these models.

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Why You Should Learn at Next Learn Academy?

Online learning is flexible, convenient and gives you the opportunity to balance life's other commitments with higher education. Next Learn Academy offers an extensive range of online courses with a variety of rich material and resources that will let you connect to peers and expert tutors and build on your skills and knowledge. Next Learn Academy is a reliable online provider with a strong reputation and its meticulously designed courses to help you kick-start your professional journey in the best possible way.

Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
A sound educational background is recommended.

Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
Tech executives and investors who are interested in big data, machine learning or natural language processing
Engineers who want to understand or learn machine learning

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

You will only need to pay £19 for assessment & Certificate.

Upon the successful completion of the course, you will be awarded the ‘ Certificate in Machine Learning: Decision Trees & Random Forests - Level 2’ certificate by CPD.

Receive a Printed Certificate absolutely FREE, with applicable delivery fee

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

High-quality e-learning study materials.
Tutorials/materials from industry-leading experts.
24/7 Access to the Learning Portal.
Recognised Accredited Certification

Entry Requirements

Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
A sound educational background is recommended.

Who Should Attend

Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
Tech executives and investors who are interested in big data, machine learning or natural language processing
Engineers who want to understand or learn machine learning

Method of Assessment

To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.

You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.

You will only need to pay £19 for assessment & Certificate.

Certification

Upon the successful completion of the course, you will be awarded the ‘ Certificate in Machine Learning: Decision Trees & Random Forests - Level 2’ certificate by CPD.

Receive a Printed Certificate absolutely FREE, with applicable delivery fee

Other Information

Access Duration

Awarding Body

CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.

Other Benefits

High-quality e-learning study materials.
Tutorials/materials from industry-leading experts.
24/7 Access to the Learning Portal.
Recognised Accredited Certification

Preview this course

£64.00

Add To Cart Buy Now

Course Includes:

Accredited By: CPD
Course Level: Beginner to Advance
Course Duration: 365 Days
Number of Modules: 22
Guided Learning Hours: 4.5
Course Certificate: At completion
Assessment Included:
Course Material:

Training 5 or more people?

Get your team access to 600+ top NLA courses anytime, anywhere.

Try NLA for Business

Curriculum

00 Lectures

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Preview Certificate and Apply for Student ID Card

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Student Feedback

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Reviews

EG

Sun, 26-Jul-2020

Elliot Green

Easy to understand

The modules are easy to follow and understand, and now I am confident at proceeding to higher certifications