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This course is for you if you want to fully equip yourself with the art of applied machine learning using MATLAB. We will apply the most commonly used data preprocessing techniques without having to learn all the complicated maths. Additionally, if you have had previous hours and hours of machine learning implementation but could never figure out how to further improve the peformance of the machine learning algorithms. By the end of this course, you will have at your fingertips a vast variety of the most commonly used data preprocessing techniques that you can use instantly to maximize your insight into your data set.
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In this particular tutorial we will cover the following topics:
- Introduction to the course
- Introduction to MATLAB
- Importing a data-set into MATLAB
- Deletion strategies
- Using mean and mode
- Considering as a special value
- Class specific mean and mode
- Random value imputation