Machine Learning Classification Algorithms using MATLAB | Escils

Machine Learning Classification Algorithms using MATLAB


This course is for you If you are being fascinated by the field of Machine Learning?

Basic Course Description

This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB. Following that we will look into the details of how to use different machine learning algorithms using MATLAB. Specifically, we will be looking at the MATLAB toolbox called statistic and machine learning toolbox. We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Ouput Codes and Ensembles. Following that we will be looking at how to cross validate these models and how to evaluate their performances. Intuition into the classification algorithms is also included so that a person with no mathematical background can still comprehend the esesential ideas. The following are the course outlines.

Sgement 1: Instructor and Course Introduction

Segment 2: MATLAB Crash Course

Segment 3: Grabbing and Importing Dataset

Segment 4: K-Nearest Neighbor

Segment 5: Naive Bayes

Segment 6: Decision Trees

Segment 7: Discriminant Analysis

Segment 8: Support Vector Machines

Segment 9: Error Correcting Ouput Codes

Segment 10: Classification with Ensembles

Segment 11: Validation Methods

Segment 12: Evaluating Performance

At the end of this course,

  • You can confidently implement machine learning algorithms using MATLAB.
  • You can perform meaningful analysis on the data.

Class Curriculum

  Chap_10_Classification with Ensembles
Available in days
days after you enroll
  Chap_11 Validation Methods
Available in days
days after you enroll

Your Instructor

Nouman Azam


5 months ago Infosec Leader

Exceptionally proficient teacher, who will deliberately disclose everything to guarantee your complete understanding. I appreciated the challenges which were presented with the goal that I could have an opportunity to give it a shot for myself rather than continually following along.

3 months ago Jaysen Batchelor

This course was extremely overwhelming to jump into, however the instructor makes an extraordinary effort in showing step by step explaining you with the devices and strategies at an early stage.

1 months ago Milos Montes

Excellent course.... the instructor helped keep me wanting to continue through all the lectures.

1 months ago Alexey Brenes

This was till now the best course I have had on EH Academy. The instructor does a great job! He teaches with great interest and has a rich educational knowledge.

6 months ago Anthony Falcon

This course is really engaging and the instructor was well prepared to deliver the content effectively.

9 months ago Benjamin Major

The instructor has a strong grasp of the subject and makes the learning fun with his antics. Have enjoyed all of this instructor’s courses.

8 months ago Chad Blair

I really liked this course because the instructor uses very basic but clear models to demonstrate a concept. It really helped me get a picture of what's happening throughout the course.

4 months ago Chris Dunavan

For me this was quite quick, but deep enough, course to get detailed knowledge. This class was very well organized and delivered, I enjoyed it.

3 months ago Cristian Drincu

Excellent!! I would recommend as "A Must" for students who are seeking quality course.

2 months ago Edwin-Torres-Sanchez

This is really good, building from beginner to amateur, so far - I've taken a lot from this course and actually am using the things I learn on a daily basis in my work.

6 months ago Glen Ihrig

The course is really engaging and an experiential learning.

7 months ago Hector-Toledo

Almost done with the course. Excellent all round. The course is well structured and the pace is just correct.

1 months ago Hector-Toledo

The instructor explains clearly each point, and he is concise and to the point. He uses practical and visual approach that makes concepts easy to understand and hard to forget.

2 months ago Juan John Charles

Very engaging presentation and manages to condense a lot of information into short periods but still makes it all understandable.

1 months ago Marcus Smith

Very clear instructions and very well put together teaching materials.

Nouman Azam

Nouman Azam

Class Curriculum

  Chap_10_Classification with Ensembles
Available in days
days after you enroll
  Chap_11 Validation Methods
Available in days
days after you enroll

Frequently Asked Questions

When does the course start and finish?

The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.

How long do I have access to the course?

How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.

What if I am unhappy with the course?

We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!