Chapter4
This directory contains 7 workflows.
1. Data Preparation
Examples of common data preparation methods for machine learning, including missing value handling, normalization, and partitioning
2. My First Model
Classification wih naive Bayes and decision tree classifiers, with the performance evaluated by the scorer node and ROC curves
3. My First ANN
An exercise on classification with a multi-layer perceptron
4. Clustering and Regression
Exercise on linear regression and k-means clustering.