YoVDO

Introduction to Machine Learning with KNIME

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Data Science Courses Data Analysis Courses KNIME Courses Predictive Analytics Courses Regression Analysis Courses Decision Trees Courses Data Integration Courses CRISP-DM Courses

Course Description

Overview

Learn KNIME, a popular open-source platform for predictive analytics and machine learning. Discover how to use KNIME for merging and aggregation, modeling, data scoring, and more.

Syllabus

Introduction
  • Open-source machine learning with KNIME
  • Who is this course for?
1. How Does KNIME Complement Your Existing Analytics Toolkit?
  • Why use an Analytics Workbench?
  • Using CRISP-DM to evaluate tools
  • Why choose KNIME?
2. Getting Comfortable with KNIME
  • The KNIME interface
  • Find case studies on the Examples Server
  • The KNIME Hub
  • Add thousands of nodes with Extensions
  • Search and Help
3. Accessing Data
  • Accessing data
  • File reader node
  • Database access with KNIME
4. Data Understanding
  • Describe data and verify data quality
  • Explore data: Scatterplot
  • Explore data: Boxplot
5. Data Integration and Merging
  • Merging with the Joiner node
  • Aggregating with the GroupBy node
  • Creating new variables with Construct
  • Select data with Column Filter
  • Balancing data with Row Sampling node
  • Clean data with the Missing Value node
  • Format with Cell Splitter
6. Modeling
  • KNIME modeling options
  • Regression example
  • Decision tree
  • Decision tree: Scoring new data
  • Components in KNIME: AutoML and XAI
7. A World of Possibilities
  • PMML
  • R and GGPLOT2
  • Python options in KNIME
  • Certification in KNIME
Conclusion
  • Next steps

Taught by

Keith McCormick

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