Overview

• Data analysis & engineering
• Scientific Computing & Quantitative Methods
• Basics of Machine Learning
• Data mining techniques
  • Linear regression
  • Logistic regression
  • Decision Trees
  • Random Forest
  • K Nearest Neighbor
  • Naïve Bayes
  • Support Vector Machine
  • Clustering
  • Artificial Neural Networks
• Application