Machine Learning Classification Algorithms using MATLAB

Learn to Implement Classification Algorithms In One of the Most Power Tool used by Scientists and Engineer

What's Inside

This course is for you If you are being facinated 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

As bonus, you also learn how to share your analysis results with your collegues friends and others and create visual analysis of your results. You will also have access to some practice questions, which will give you hand on experience.

At the end of this course,

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

Your Benefits and Advantages:

  • If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
  • You will be sure of receiving quality contents since the instructors has already four courses in the MATLAB niche which are ranked in the top 10 courses in the MATLAB niche.
  • You have lifetime access to the course.
  • You have instant and free access to any updates i add to the course.
  • You have access to all Questions and discussions initiated by other students.
  • You will receive my support regarding any issues related to the course.
  • Check out the curriculum and Freely available lectures for a quick insight.

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It's time to take Action!

Click the "Take This Course" button at the top right now!

...Time is limited and Every second of every day is valuable...

We are excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

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More Benefits and Advantages:

✔ You receive knowledge from an experienced instructor (Dr. Nouman Azam) who is the creator of five courses on Udemy in the MATLAB niche.

✔ The titles of these courses are

  • MATLAB from A to Z: From Programming to App Desiging
  • Data Analysis with MATLAB for EXCEL Users.
  • MATLAB App Desigining: The Ultimate Guide for MATLAB Apps
  • Create Apps in MATLAB with App Designer (Codes Included)
  • Advance MATLAB Data Types and Data Structures

✔ You find majority of these courses on the first page in the MATLAB niche.

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Student Testimonials for Dr. Nouman Azam!

★★★★★

This is the second Udemy class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

★★★★★

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

★★★★★

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

★★★★★

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Course Curriculum

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Nouman Azam

I am Dr. Nouman Azam and i am Assistant Professor in Computer Science. I teach online courses related to MATLAB Programming and have over 10,000 students on different online plateforms.

The focus in these courses is to explain different aspects of MATLAB and how to use them effectively in routine daily life activities. In my courses, you will find topics such as MATLAB programming, designing gui's, data analysis and visualization.

Machine learning techinques using MATLAB is one of my favourate topic. During my research career i explore the use of MATLAB in implementing machine learning techniques such as bioinformatics, text summarization, text categorization, email filtering, malware analysis, recommender systems and medical decision making.

Email: [email protected]

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