Giu 172024

Introduction to scientific Python programming

Dr. Tamás László Storcz
University of Pécs, Hungary


  1. Scientific data and data science, working with Python ecosystem
  2. Data collection, preparation and cleaning
  3. Data visualization
  4. Feature engineering
  5. Creating and validating AI models
  6. Searching model parameters
  7. Practical data management
  8. Examples of application


Please register to the course through this form.

June 24th, 15.00-17.00 Aula F
June 25th, 15.00-17.00 Aula F
June 26th, 15.00-17.00 Aula F
June 27th, 9.30-11.30 Aula F
June 28th, 15.00-17.00 Aula F (final test)


The final exam consists in a test, which will be taken on the last day of the course.

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