Científico de datos | docente machine learning y python

Energy consumption modelling from University of Granada’s buildings.
- Linear regression
- Decision trees
- Support Vector Machine
- Fuzzy Rules
- Ontologies
- Data representation
- Algorithm Design
- Symbolic Regression & Genetic Programming
- Symbolic Regression & Ant Colony Optimization Algorithms
- CHC
• Energy consumption forecasting from University of Granada’s buildings.
      - ARIMA
      - Artificial Neural Network
      - Linear Regression
      - Support Vector Machine
      - Symbolic Regression & Multi-Objective Genetic Programming
• Hydrological modelling
      - Data cleaning
      - Genetic algorithms
      - Linear regression
      - Symbolic regression
• Teaching:
      - Programming: C++
      - Databases: Relational databases, DBMS Architecture, SQL.
      - Theory of Algorithms: Algorithmic efficiency, Divide & Conquer,Dynamic Programming.

Extract, Transform and Load (ETL) energy consumption data from several buildings of the University of Granada.

 Study of problem representation alternatives to encode algebraic expressions in genetic programming.
 Design of a genetic programming algorithm to solve the Symbolic Regression problem.