mirror of
https://github.com/gsi-upm/sitc
synced 2024-12-22 03:38:13 +00:00
344e054ba4
Se utiliza np.size en la última columna. Esto calcula el tamaño de la serie, creo que de valores no null, pero no lo que pienso que se pretende es calcular el número de supervivientes, para lo que se podría utilizar np.sum. |
||
|---|---|---|
| lod | ||
| ml1 | ||
| ml2 | ||
| ml3 | ||
| ml4 | ||
| ml5 | ||
| nlp | ||
| python | ||
| rdf | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| logo.jpg | ||
| Makefile | ||
| README.md | ||
sitc
Exercises for Intelligent Systems Course at Universidad Politécnica de Madrid, Telecommunication Engineering School. This material is used in the subjects
- SITC (Sistemas Inteligentes y Tecnologías del Conocimiento) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
- TIAD (Tecnologías Inteligentes de Análisis de Datos) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)
For following this course:
- Follow the instructions to install the environment: https://github.com/gsi-upm/sitc/blob/master/python/1_1_Notebooks.ipynb (Just install 'conda')
- Download the course: use 'https://github.com/gsi-upm/sitc'
- Run in a terminal in the foloder sitc: jupyter notebook (and enjoy)
Topics
- Python: quick introduction to Python
- ML-1: introduction to machine learning with scikit-learn
- ML-2: introduction to machine learning with pandas and scikit-learn
- ML-3: introduction to machine learning. Neural Computing
- ML-4: introduction to Evolutionary Computing
- ML-5: introduction to Reinforcement Learning
- NLP: introduction to NLP
- LOD: Linked Open Data, exercises and example code