code for statistical and machine learning analyses
Analysis of several datasets (including emotion, sleep, and jealousy data) using statistical and machine learning methods.
In the first project, analyses include:
- Clustering (K-means, K-mediods, hierarchical)
- Latent class analysis
- Latent profile analysis
- Mixture regression models
- Lasso regression
- Graphical lasso
- Sparse PCA
- Conditional inference trees
- Regression trees
- Random forests
- Model-based recursive partitioning
In the second project, analyses include:
- Support vector machines
- Neural networks
- Deep neural networks
- Natural language processing