Preprocessing Data | Data Science Tutorial in MATLAB, Part 2
Previous Lecture: Importing Your Data | Data Science Tutorial in MATLAB, Part 1
After importing data, you can use MATLAB® to preprocess it. This video uses an example weather data set to illustrate all the ways you can preprocess your data. You’ll learn how to: identify which MATLAB data type to use, access your data, and work with missing data. You’ll also learn about how to handle other challenges, such as managing outliers, merging data, and resampling.
Download the code: https://bit.ly/2lSiCqi
After importing data, you can use MATLAB® to preprocess it. This video uses an example weather data set to illustrate all the ways you can preprocess your data. You’ll learn how to: identify which MATLAB data type to use, access your data, and work with missing data. You’ll also learn about how to handle other challenges, such as managing outliers, merging data, and resampling.
Download the code: https://bit.ly/2lSiCqi
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