Introduce basic machine learning models in RapidMiner.
- Load and Collect Data in RapidMiner
- Exploring Data in RapidMiner
- Simple Linear Regression
- Generalized Linear Regression
- Logistic Regression and Support Vector Machine
- K-Nearest Neighbors
- Naive Bayes
- Decision Trees, Random Forest, and Gradient Boosting Trees
- Neural Networks
- K-Means Clustering
- Create an App on RapidMiner Server
- Use Auto Model in RapidMiner