Theory & Hands-on
- Introduction to CRISP-DM methodology
- Introduction to different types of commonly used machine learning algorithms and evaluation metrics:
- Classification Algorithms: Decision Trees, Logistic Regression or K-NN
- Clustering: K-Means
- Regression / Prediction algorithms: Linear Regression
- Model evaluation metrics
- KNIME Installation: brief walk through for installation of add-ons & extensions
- Implementation of machine learning algorithms using KNIME
Certification
Participants who meet at least 75% of the required course attendance and pass the assessment will be awarded a Certificate of Completion.