Working repository for Jupyter notebooks for the Analytics Class, Spring 2018.
- Installation instructions
- Overview, tools, & Python refresher (1/18)
- PCA (1/23)
- Factor analysis (1/25)
- ICA (1/30)
- Clustering (2/1)
- Linear discriminant analysis (2/8)
- Logistic regression (2/13)
- Support vector machine (2/15-2/20)
- Nearest neighbor methods (2/22)
- Decision trees (2/27)
- Feature selection, cross validation (3/1)
- Network basics (3/22)
- Network statistics (3/29)
- Node centrality (4/3)
- Network community (4/10)
- Text processing (4/12)
- Corpora & WordNet (4/17)
- Word cloud (4/19)
- Text classification (4/24)