Plan Szkolenia
Introduction
Getting Started with Knime
- What is KNIME?
- KNIME Analytics
- KNIME Server
Machine Learning
- Computational learning theory
- Computer algorithms for computational experience
Preparing the Development Environment
- Installing and configuring KNIME
KNIME Nodes
- Adding nodes
- Accessing and reading data
- Merging, splitting, and filtering data
- Grouping and pivoting data
- Cleaning data
Modeling
- Creating workflows
- Importing data
- Preparing data
- Visualizing data
- Creating a decision tree model
- Working with regression models
- Predicting data
- Comparing and matching data
Learning Techniques
- Working with random forest techniques
- Using polynomial regression
- Assigning classes
- Evaluating models
Summary and Conclusion
Wymagania
- Experience with Python
- R experience
Audience
- Data Scientists
Opinie uczestników (5)
Zadania do zrealizowania samodzielnie oraz późniejsze wspólne rozwiązywanie
Katarzyna Kopysc-Falenta - CapGemini
Szkolenie - Data Analysis with Python, Pandas, and Numpy
Przekazanie wiedzy praktycznej oraz doświadczeń trenera.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Szkolenie - GUI Programming with Python and PyQt
Przetłumaczone przez sztuczną inteligencję
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Szkolenie - Introduction to Data Visualization with Tidyverse and R
Trener był bardzo dostępny, aby odpowiedzieć na wszystkie pytania, które zadałem
Caterina - Stamtech
Szkolenie - Developing APIs with Python and FastAPI
Przetłumaczone przez sztuczną inteligencję
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