An analytical study leveraging data mining techniques to predict obesity levels in individuals based on their eating habits and physical condition. The study focused on data from three countries: Colombia, Peru, and Mexico, aiming to derive actionable insights and correlations.
Class 20595. Grade - 95
- DM main steps
- Information theory
- Data preprocessing
- Classification and prediction
- Decision trees
- Info-fuzzy networks
- Bayesian classification
- Instance-based learning
- Association rules
- Cluster analysis
- Feature selection
- Advanced topics in DM.
Ex21.pdf - Data preprocessing, Classification using gradient boosting trees (CART, J48), and evaluating the results. Ex22.pdf - Cluster analysis, Association rules, ANN and into do DNNs