Course curriculum

  • 1
    Introduction to the course and MATLAB
    • Introduction to the course
    • Introduction to MATLAB
    • Importing the dataset into MATLAB
  • 2
    Handling Missing Values
    • Deletion strategies
    • Using mean and mode
    • Adding special values
    • Class specific mode and mean
    • Random value imputation
  • 3
    Dealing with Categorical Variables
    • Categorical data with no order
    • Categorical data with order
    • Frequency encoding
    • Target based encoding
  • 4
    Outlier Detection
    • 3 sigma rule with deletion strategy
    • 3 sigma rule with filling strategy
    • Histograms for outliers
    • Box plots (Part 1)
    • Box plots (Part 2)
    • LOF (Part 1)
    • LOF (Part 2)
    • Outliers in categorical variables
  • 5
    Feature Scalling and Data Discretization
    • Feature scaling
    • Equal width binning
    • Equal frequency binning
  • 6
    Project: Selecting Techniques for your Dataset
    • Selecting the right method (Part 1)
    • Selecting the right method (Part 2)