Performing Feature Engineering with MATLAB
By Justin Flett
Course info
Course info
Description
MATLAB is a widely used programming language for statistical computing. In this course, Performing Feature Engineering with MATLAB, you will learn foundational knowledge for understanding and implementing data science and feature engineering problems with MATLAB. First, you will learn what feature engineering is and why it can be useful to us. Next, you will learn how to organize and clean raw data within MATLAB. Then, you will learn how to preprocess text and image data with MATLAB. Finally, you will learn how extract features for analysis within MATLAB. When you are finished with this course, you will have the skills and knowledge of data science and feature engineering basics with MATLAB.
About the author
Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to advanced product development solutions.
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Section Introduction Transcripts
Course Overview
Hi, everyone. My name is Justin, and welcome to my course, Performing Feature Engineering with MATLAB. I am a mechatronics engineer, and I'm currently an engineering professor at Sheridan College. Prior to this, I have many years of engineering and consulting experience across numerous industries. This course is an intermediate‑level course for learning the fundamentals of feature engineering with MATLAB, so some prior knowledge of MATLAB or data science might be beneficial. Some of the major topics that we will cover include introducing and understanding feature engineering, organizing and cleaning data with MATLAB, preprocessing data with MATLAB, and extracting features for analysis. By the end of this course, you will be proficient in the fundamental techniques required to work with MATLAB on feature engineering and data science problems. From here, continue your learning by diving into MATLAB and data science with courses on MATLAB Fundamentals, Getting Started with Machine Learning using MATLAB, and Building your First Data Analysis Workflow with MATLAB. I hope you'll join me on this journey to learn MATLAB fundamentals for feature engineering and data science with the Performing Feature Engineering with MATLAB course, at Pluralsight.