Data Preprocessing for Machine Learning Using MATLAB

Learn to implement commonly used data preprocessing techniques in MATLAB with practical examples, project and data-sets!

Course curriculum

1. Introduction to course
2. Importing the dataset into MATLAB
3. Introduction to MATLAB
1. Deletion strategies
2. Using mean and mode
3. Adding special values
4. Class specific mode and mean
5. Random value imputation
1. Categorical data with no order
2. Categorical data with order
3. Frequency encoding
4. Target based encoding
1. 3 sigma rule with deletion strategy
2. 3 sigma rule with filling strategy
3. Histograms for outliers
4. Box plots (part 1)
5. Box plots (part 2
6. LOF (part 1)
7. LOF (part 2)
8. Outliers in categorical variables
1. Feature scaling
2. Equal width binning
3. Equal frequency binning
1. Selecting the right method (part 1)
2. Selecting the right method (part 2)

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