Introduction to Machine Learning with KNIME
With Keith McCormick
Liked by 667 users
Duration: 1h 59m
Skill level: Beginner
Released: 6/5/2019
Course details
KNIME is an open-source workbench-style tool for predictive analytics and machine learning. It is highly compatible with numerous data science technologies, including R, Python, Scala, and Spark. With KNIME, you can produce solutions that are virtually self-documenting and ready for use. These reasons and more make KNIME one of the most popular and fastest-growing analytics platforms around. In this course, expert Keith McCormick shows how KNIME supports all the phases of the Cross Industry Standard Process for Data Mining (CRISP-DM) in one platform. Get up and running quickly—in 15 minutes or less—or stick around for the more in-depth training covering merging and aggregation, modeling, and data scoring. Plus, learn how to increase the power of KNIME with extensions and integrate R and Python.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
-
Clara María González
Clara María González
Sistema de indicadores| análisis de datos | Automatizacion de procesamiento de datos | proceso ETL | Alteryx | Knime | SQL | Programacion R | Python…
-
Usman Abdullahi Nma
Usman Abdullahi Nma
MSc Information Management | MSc GIS | BURP | IM | Data Analytics | GIS Analyst
-
Irving Gonzalez
Irving Gonzalez
Project Manager | ETL Developer | Master Data | Data Analyst | Business Intelligence | Automation
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.