Book Content
chapters • 7h4m total length
1. Introduction
2. ML Studio inside out
3. Data Exploration and Visualization
4. Getting Data in and out of ML Studio
5. Data Preparation
6. Regression Models
7. Classification Models
8. Clustering
9. Recommender Model
10. Extensibility with R
11. Publishing and consuming a model as a Web Service
12. Case Study I
13. Case Study II
