Learn to Implement Classification Algorithms In One of the Most Power Tool used by Scientists and Engineer
Then 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,
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.
This course is really good for a beginner. It will help you to start from ground up and move on to more complicated areas. Though it does not cover Matlab toolboxes etc, it is still a great basic introduction for the platform. I do recommend getting yourself enrolled for this course.Excellent course and instructor. You learn all the fundamentals of using MATLAB.
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!
The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!
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)”
Your Benefits and Advantages:
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…Time is limited and Every second of every day is valuable…
I am excited to see you in the course!
Dr. Nouman Azam
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Machine Learning Classification Algorithms using MATLAB
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