Introduction to Analytics Modelling Course

Georgia Institute of Technology. Jupyter Notebooks based mainly on R

Topics Covered by Week

1. Classification (KNN, SVM)
2. Clustering (k-means), Valdiation & Cross-validation
3. Data preparation & Change Detection
4. Time Series Models (Exponential Smoothing & ARIMA)
5. Multi-Linear Regression
6. Principal Component Analysis
7. Classification & Regression Trees and Random Forest Models and Logistic Regression
8. Variable Selection; Greedy methods, Lasso, Elastic Net
9. Design of Experiments (A/B Testing, Factorial Design) and Probability-based Models and Simulation modelling
10. Handling missing data
11. Optimization Models