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Introduction to Machine Learning with KNIME

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Keith McCormick

1:59:06

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  • 01 - Open-source machine learning with KNIME.mp4
    00:50
  • 02 - Who is this course for.mp4
    02:54
  • 01 - Why use an Analytics Workbench.mp4
    03:23
  • 02 - Using CRISP-DM to evaluate tools.mp4
    04:06
  • 03 - Why choose KNIME.mp4
    04:44
  • 01 - The KNIME interface.mp4
    01:52
  • 02 - Find case studies on the Examples Server.mp4
    02:33
  • 03 - The KNIME Hub.mp4
    02:35
  • 04 - Add thousands of nodes with Extensions.mp4
    03:13
  • 05 - Search and Help.mp4
    01:52
  • 01 - Accessing data.mp4
    03:12
  • 02 - File reader node.mp4
    03:57
  • 03 - Database access with KNIME.mp4
    05:11
  • 01 - Describe data and verify data quality.mp4
    04:09
  • 02 - Explore data Scatterplot.mp4
    02:58
  • 03 - Explore data Boxplot.mp4
    03:48
  • 01 - Merging with the Joiner node.mp4
    02:24
  • 02 - Aggregating with the GroupBy node.mp4
    01:37
  • 03 - Creating new variables with Construct.mp4
    03:24
  • 04 - Select data with Column Filter.mp4
    02:17
  • 05 - Balancing data with Row Sampling node.mp4
    03:18
  • 06 - Clean data with the Missing Value node.mp4
    02:46
  • 07 - Format with Cell Splitter.mp4
    03:37
  • 01 - KNIME modeling options.mp4
    07:05
  • 02 - Regression example.mp4
    09:17
  • 03 - Decision tree.mp4
    06:33
  • 04 - Decision tree Scoring new data.mp4
    01:49
  • 05 - Components in KNIME AutoML and XAI.mp4
    06:04
  • 01 - PMML.mp4
    03:44
  • 02 - R and GGPLOT2.mp4
    04:08
  • 03 - Python options in KNIME.mp4
    05:46
  • 04 - Certification in KNIME.mp4
    02:29
  • 01 - Next steps.mp4
    01:31
  • Description


    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.

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    Keith McCormick
    Keith McCormick
    Instructor's Courses
    I'm an independent consultant, trainer, speaker, and author of seven books. My consulting specializes in helping analytics leaders build and manage their data science teams. My training, including 20 LinkedIn Learning courses and frequent conference workshops, has reached 1000s of individuals trying to learn statistics, machine learning, and data science. I love that I am able to train and consult. Training allows me to interact with (and learn from) 100s of clients in dozens of industries every year. It prevents me from obtaining too narrow a focus, and it keeps me current. Consulting allows me to work with a smaller number of clients in detail and in-depth, working with them on real problems of immediate concern to them. It keeps me sharp. If you've encountered me through my LinkedIn Learning courses, please consider following me here on LinkedIn. I'm not able to connect with everyone, so I connect only with clients and colleagues that I know directly. But please do follow me here because I'm quite active on LinkedIn and frequently post excerpts from the courses and other content. Follow #freefirstfridays to see when I post a link to watch a course for free. My favorite kind of consulting work involves: - working with analytics management to create effective data science teams - listening carefully to my client explain their business in detail - turning their description into a research question that can be answered with their data - coaching my client on presenting possible solutions to decision-makers - working behind the scenes to get the solution deployed Specialties: For the last several years, my emphasis has been working with analytics management to more efficiently run their teams and to nurture new hires as they expand their teams. I am skilled at explaining complex methods to new users or decision-makers and can do so at any level of technical detail. I specialize in predictive models and segmentation analysis, including classification trees, neural nets, general linear model, cluster analysis, and association rules. Books and Courses The best way to find out more about me is to check out my courses on LinkedIn Learning. They have received over 500,000 views, and each one has some free content. My books can be found on Amazon, and typically that allows you to view some free content as well. I'm very proud of all of this content (listed below in my profile), but I am still primarily an active consultant. If you need consulting help, private training, or a keynote speaker, contact me, and we can discuss.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 33
    • duration 1:59:06
    • English subtitles has
    • Release Date 2023/09/03