Machine Learning Classification Algorithms using MATLAB

Salepage : Machine Learning Classification Algorithms using MATLAB
Archive : Machine Learning Classification Algorithms using MATLAB Digital Download
Delivery : Digital Download Immediately

If you are attracted by the topic of Machine Learning, this course is for you.

Fundamental Course Description

This course will study one of the most exciting elements of machine learning known as categorization. In this course, I will walk you step by step through the basics of MATLAB. Following that, we will delve into the intricacies of how to implement various machine learning approaches in MATLAB. We will especially look at the MATLAB toolbox titled statistic and machine learning toolbox. We will apply K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Trees, Support Vector Machines, Error Correcting Output Codes, and Ensembles to create some of the most routinely used classification approaches. Following that, we’ll look at how to cross-validate these models and analyze their performance. Intuition is also embedded into the classification algorithms, allowing a person with little mathematical background to comprehend the important principles. The course descriptions are as follows.

Section 1: Introduction to the Instructor and the Course

Part 2: MATLAB Crash Course

Section 3: Obtaining and Importing Datasets

Fourth segment: K-Nearest Neighbor

5th segment: Naive Bayes

6th segment: Decision Trees

Discriminant Analysis (Section 7) (Section 7)

Support Vector Machines (SVMs) (SVMs)

9th segment: Error Correcting Output Codes

Segment 10: Ensemble Classification

Validation Methods (Section 11) (Section 11)

Evaluating Performance (Section 12) (Section 12)

At the completion of this course,

You can reliably utilize MATLAB to construct machine learning algorithms.
You can undertake appropriate data analysis.

Student Feedback!

★★★★★

This is the second Matlab class I’ve taken on Udemy. A couple of crucial themes that were not addressed in the preceding course have already been investigated. I’m happy the instructor is comparing Matlab to Excel, which is the application I’ve been suffering with. This course is a little more advanced than the one before it. As an engineer, I love that it involves difficult numbers, derivatives, and integrals. I’m also glad it involves GUI design. None of those things were mentioned in my original, more basic presentation.

Mr. Jeff Philips

★★★★★

.p………….. p.s…… It will aid you in starting from the ground up and proceeding to more difficult areas. Even while it does not include Matlab toolboxes and the such, it is nonetheless a great foundational introduction to the platform. I strongly suggest you to enroll in this course. Excellent course and teacher. You will study the fundamentals of MATLAB.

Weerasinghe, Lakmal

★★★★★

Great information and not too much chatter; essentially, he is very brief, so you cover a lot of territory quickly and without growing bored!

Kanji, Oamar

★★★★★

The course is terrific and covers a lot of terrain. The renovations are great. The course goes above and beyond what is advertised. Thank you very much!

pre-paraparaparaparaparaparaparaparaparaparalect and perparaparaparapara

Student Feedback! They also teach MATLAB under the MATLAB category

“Concepts are quite nicely stated, Sir…!!!”

Engr Muhammad Absar Ul Haq is the professor of the “Matlab cornerstone skills for Mathematics (Matrices & Arrays)” course.

Your Advantages and Benefits:

You will obtain material from a Ph.D. in Computer Science (machine learning) with over 10 years of teaching and research experience, as well as 15 years of programming expertise and another decade of MATLAB experience.
The trainer has six MATLAB courses on Udemy, including a best-seller.
These courses have an overall rating of (4.5/5)
If you do not find the course valuable, you are protected by a 30-day money-back guarantee, which includes a total refund with no questions asked!
The course is available to you for the rest of your life.
You get quick and unfettered access to any modifications I make to the course.
All questions and comments started by other students are available to you.
You will have my support with any course-related problems.
For a quick overview, check at the curriculum and freely available lectures._

It’s time to get to work!

Right now, click the “Take This Course” button at the top!

…Time is important, and every second of every day matters…

I’m looking forward to seeing you in class!

Best wishes,

Nouman Azam, M.D.

More from Categories : Self Development