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.
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:
- You receive knowledge from a Ph.D. in Computer science (machine learning) with over 10 years of teaching and reaserch experience, In addition to 15 years of programming experience and another decade of experience in using MATLAB.
- The instructor has 6 courses on udemy on MATLAB including a best seller course.
- The overall rating in these courses are (4.5/5)
- If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
- 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.
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...
I am excited to see you in the course!
Dr. Nouman Azam
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