Kursplan
Introduktion
Översikt över Data Mining begrepp
Data Mining Tekniker
Att hitta föreningsregler
Matchande enheter
Analysera nätverk
Analysera textens känsla
Att känna igen namngivna enheter
Implementera textsammanfattning
Generera ämnesmodeller
Upptäcka dataavvikelser
Bästa metoder
Sammanfattning och slutsats
Krav
- Förståelse för Python-programmering.
- Förståelse för Python-bibliotek i allmänhet.
Publik
- Dataanalytiker
- Dataforskare
Vittnesmål (5)
Det faktum att vi har mer praktiska övningar med mer liknande data som vi använder i våra projekt (satellitbilder i rasterformat)
Matthieu - CS Group
Kurs - Scaling Data Analysis with Python and Dask
Machine Translated
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.
Kurs - 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
Kurs - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Kurs - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.