Cursusaanbod
Introductie
Aan de slag met Knime
- Wat is KNIME?
- KNIME Analyse
- KNIME Server
Machine Learning
- Computationele leertheorie
- Computeralgoritmen voor computationele ervaring
Voorbereiding van de ontwikkelingsomgeving
- Installeren en configureren KNIME
KNIME Knooppunten
- Knooppunten toevoegen
- Accessing en lezen van gegevens
- Gegevens samenvoegen, splitsen en filteren
- Gegevens groeperen en draaien
- Gegevens opschonen
Modeling
- Workflows maken
- Gegevens importeren
- Gegevens voorbereiden
- Visualiseren van data
- Een beslisboommodel maken
- Werken met regressiemodellen
- Gegevens voorspellen
- Gegevens vergelijken en matchen
Technieken leren
- Werken met random forest technieken
- Polynomiale regressie gebruiken
- Klassen toewijzen
- Modellen evalueren
Samenvatting en conclusie
Vereisten
- Ervaring met Python
- R ervaring
Audiëntie
- Datawetenschappers
Testimonials (5)
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Cursus - R Fundamentals
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Cursus - KNIME Analytics Platform for BI
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Cursus - Introduction to Data Visualization with Tidyverse and R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Cursus - Programming with Big Data in R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.