Data Preprocessing for Machine Learning Using MATLAB!

Learn to implement commonly used data preprocessing techniques in MATLAB with practical examples, project and data-sets!

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This course is for you if you want to fully equip yourself with the art of applied machine learning using MATLAB. This course is also for you if you want to apply the most commonly used data preprocessing techniques without having to learn all of the complicated math. Additionally, this course is also for you if you have taken previous machine learning implementation courses but could never figure out how to further improve the performance of the machine learning algorithms. By the end of this course, you will have at your fingertips, a vast variety of most commonly used data preprocessing techniques that you can use instantly to maximize your insight into your data set.

The approach in this course is very practical and we will build everything from scratch. We will immediately start coding after a couple of introductory tutorials and we will try to the theory to a minimum. All of the coding will be done in MATLAB, which is one of the fundamental programming languages for engineering and science students, and is frequently used by top data science research groups world wide.

Below is the brief outline of this course.

Segment 1: Introduction to the Course and MATLAB

Segment 2: Handling Missing Values

Segment 3: Dealing with Categorical Variables

Segment 4: Outlier Detection

Segment 5: Feature Scalling and Data Discretization

Segment 6: Project: Selecting Techniques for your Dataset

Your Instructor

Dr. Nouman Azam
Dr. Nouman Azam

Dr. Nouman Azam is an Assistant Professor in Computer Science. He teaches online courses related to MATLAB Programming to more than 10,000 students on different online platforms.

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 techniques using MATLAB is one of my favorite topics. 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.

Course Curriculum

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.

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