Learning Codeless Machine Learning with KNIME

Courses under this program:
Course 1: Introduction to Machine Learning with KNIME
-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.

Course 2: Machine Learning and AI Foundations: Decision Trees with KNIME
-Expand your data science skills and establish a strong foundation in codeless machine learning.

Course 3: Data Science Foundations: Data Assessment for Predictive Modeling
-Explore the data understanding phase of the CRISP-DM methodology for predictive modeling. Find out how to collect, describe, explore, and verify data.

Course 4: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
-Learn best practices for how to produce explainable AI and interpretable machine learning solutions.

Course 5: Machine Learning and AI Foundations: Advanced Decision Trees with KNIME
-Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.