Georgia Institute of Technology. Jupyter Notebooks based mainly on R
Topics Covered by Week
- Classification (KNN, SVM)
- Clustering (k-means), Valdiation & Cross-validation
- Data preparation & Change Detection
- Time Series Models (Exponential Smoothing & ARIMA)
- Multi-Linear Regression
- Principal Component Analysis
- Classification & Regression Trees and Random Forest Models and Logistic Regression
- Variable Selection; Greedy methods, Lasso, Elastic Net
- Design of Experiments (A/B Testing, Factorial Design) and Probability-based Models and Simulation modelling
- Handling missing data
- Optimization Models