Cursusaanbod
Invoering
Overzicht van Data Mining concepten
Data Mining Technieken
Associatieregels zoeken
Matchende entiteiten
Netwerken analyseren
Het sentiment van tekst analyseren
Herkennen van benoemde entiteiten
Tekstsamenvatting implementeren
Onderwerpmodellen genereren
Gegevensafwijkingen detecteren
Beste praktijken
Samenvatting en conclusie
Vereisten
- Een begrip van Python programmeren.
- Een begrip van Python bibliotheken in het algemeen.
Publiek
- Data-analisten
- Data-wetenschappers
Testimonials (5)
Het feit dat we meer praktische oefeningen hebben met meer gegevens die lijken op wat we in onze projecten gebruiken (satellietbeelden in rasterformaat)
Matthieu - CS Group
Cursus - Scaling Data Analysis with Python and Dask
Automatisch vertaald
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Cursus - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Cursus - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Cursus - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.