Outcomes
By the end of the course, learners will be able to:
Source: SAS Viya and Python Integration for Machine Learning. Click here |
Level: | 03 |
Duration: | 25 Hours | |
Pre-requisites: | SAS Viya: Level 01 SAS Viya: Level 02 |
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What’s next: | TBD |
Lessons
Jupyter demonstrations
- Demo 1- Data Splitting & Refreshing the CAS Object
- Demo 1- Dimension Reduction
- Demo 2 - Different Model Types
- Demo 3 - Fitting XGBoost Model
- Demo 3 – Connecting & Recreating variables
- Demo 3 – Scoring & Assessing XG Boost model
- Demo 3 – Efficient-scoring &looping
- Demo 4 – Efficient assessment & looping
- Demo 4 – Confusion matrix & Misclassification
- Demo 4 – ROC & Lift curve
- Demo 5- Modeling Continuous Variables
- Demo 5- Modeling Categorical Variables