Introduction to the Course and MATLAB
Data Preprocessing
-
Source Code and Data
-
Section introduction (1:54)
-
Importing the data into MATLAB (7:25)
-
Handling missing data (part 1) (7:43)
-
Handling missing data (part 2) (6:46)
-
Feature scaling (9:50)
-
Handling outliers (part 1) (9:07)
-
Handling outliers (part 2) (6:02)
-
Dealing with categorical data (part 1) (9:50)
-
Dealing with categorical data (part 2) (6:20)
-
Your data preprocessing template (3:58)
Classification
K-Nearest Neighbor
Naive Bayes
Decision Trees
Support Vector Machines
Discriminant Analysis
Ensembles
Performance Evaluation
Clustering
K-Means
Hierarchical Clustering
Dimensionality Reduction
Project: Malware Analysis
