Business Analytics Personal Project

1. Dimensionality Reduction

• Locally Linear Embedding(LLE) [slide] [tutorial]

• t-distribution Stochastic Neighbor Embedding(t-SNE) [slide] [tutorial]

2. Kernel based Learning

• Support Vector Machine(SVM)

3. Anomaly Detection

• Autoencoder-based Anomaly Detection

4. Ensemble Learning

• Bagging & Boosting in terms of base learner

5. Semi-supervised Learning

• Self-training