In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.

Data Processing and Feature Engineering with MATLAB
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Data Processing and Feature Engineering with MATLAB
This course is part of Practical Data Science with MATLAB Specialization



Instructors: Michael Reardon
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351 reviews
What you'll learn
Prepare data for further analysis by removing noise, identifying outliers, & merging data from multiple sources
Create and evaluate features for machine learning applications
Explore special techniques for handling textual, audio, & image data
Perform unsupervised machine learning
Skills you'll gain
- Data Wrangling
- Plot (Graphics)
- Data Visualization
- Data Preprocessing
- Data Science
- Feature Engineering
- Predictive Modeling
- Histogram
- Scientific Visualization
- Data Compilation
- Data Cleansing
- Data Integration
- Data Manipulation
- Exploratory Data Analysis
- Data Transformation
- Text Mining
- Unstructured Data
- Dimensionality Reduction
- Data Processing
Tools you'll learn
Details to know

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Reviewed on Aug 28, 2020
Great overview. Very useful exercises and tests. However, Week 5 was a little overwhelming since it is a little bit of everything (signals, images, texts).
Reviewed on Jul 9, 2020
The course was easy to follow and the sections in the week 5 module showed some real life applications of the methods learnt throughout the course.
Reviewed on Apr 7, 2020
Big step up from the previous course but good introduction into data science, what it is and what MATLAB can do to help you get the most out of your analysis. Very good !












