YoVDO

Performing Feature Engineering with MATLAB

Offered By: Pluralsight

Tags

R Programming Courses Data Analysis Courses MATLAB Courses Data Cleaning Courses Statistical Computing Courses Data Organization Courses Feature Engineering Courses Text Preprocessing Courses

Course Description

Overview

MATLAB is a widely used programming language for statistical computing. This course will teach you the fundamentals of performing feature engineering within MATLAB.

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.

Syllabus

  • Course Overview 1min
  • Introducing and Understanding Feature Engineering 9mins
  • Organizing and Cleaning Data with MATLAB 14mins
  • Preprocessing Data with MATLAB 10mins
  • Extracting Features for Analysis 18mins

Taught by

Justin Flett

Related Courses

Data Science at Scale - Capstone Project
University of Washington via Coursera Feature Engineering for Improving Learning Environments
University of Texas Arlington via edX How to Win a Data Science Competition: Learn from Top Kagglers
Higher School of Economics via Coursera Advanced Machine Learning
The Open University via FutureLearn Feature Engineering
Google Cloud via Coursera