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Introduction to Machine Learning with KNIME Preview

Introduction to Machine Learning with KNIME

With Keith McCormick Liked by 680 users
Duration: 1h 59m Skill level: Beginner Released: 6/5/2019

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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

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Sample certificate

Certificate of Completion

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Meet the instructor

Learner reviews

4.8 out of 5

294 ratings
  • 5 star
    Current value: 239 81%
  • 4 star
    Current value: 41 14%
  • 3 star
    Current value: 12 4%
  • 2 star
    Current value: 2 <1%
  • 1 star
    Current value: 0 0%
  • Clara María González Clara María González

    Clara María González

    Estadística | Gerente de Data Analytics y Automatización de Procesos | Experta en Minería de Datos y Modelos Predictivos | Ex-KPMG & PwC | Python, R,…

    4/5 September 7, 2024
    4
    Helpful · Report
  • Usman Abdullahi Nma Usman Abdullahi Nma

    Usman Abdullahi Nma

    MSc Information Management | MSc GIS | BURP | IM | Data Analytics | GIS

    5/5 August 27, 2024
    The sessions have been engaging so far. The examples as well.
    Helpful · Report
  • Irving Gonzalez Irving Gonzalez

    Irving Gonzalez

    Project Manager | ETL Developer | Master Data | Data Analyst | Business Intelligence | Automation

    2/5 February 25, 2024
    so so
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

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