Introduction to Machine Learning with MATLAB

Introductory write-up for machine learning by using MATLAB. It consist all necessary stages of data mining

Stages

• Preprocessing
  • Handling missing values
  • Handling Outliers
  • Feature Scaling
  • Handling Categorical Data
• Partitioning
• Training
• Prediction
• Analyzing the Result
  • Confussion Matrix
• Visualizing the Results

Algorithms

• K-Nearest Neighbour
• Naive Bayes
• Decision Tree
• Support Vector Machines
• Discriminant Analysis
• Ensembles

Validation

• Holdout
• KFold

Clustering

• K-means
• Hierarchical clustering

Usage

You may use Preprocessing Guide to import and process data and then decide which algorithm to make prediction and analyze the data.

Authors

• Özlem Körpe - Initial work - ozlemkorpe