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Data Processing and Feature Engineering with MATLAB
Coursera
Course
Unknown

Data Processing and Feature Engineering with MATLAB

MathWorks

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. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in ba

Unknown5 weeks16,051 enrolled

About this Course

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. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in ba

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

Instructors

M

Michael Reardon

M

Maria Gavilan-Alfonso

MathWorks

E

Erin Byrne

MathWorks

C

Cris LaPierre

MathWorks

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Data Manipulation
Data Processing
Exploratory Data Analysis
Data Cleansing
Feature Engineering
Natural Language Processing
Data Integration
Dimensionality Reduction
Plot (Graphics)
Data Visualization

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