Course Outcomes (COs):
| Course Outcomes | |
| CO1 | To implement modern machine learning model of supervised learning. |
| CO2 | To implement modern machine learning model of unsupervised learning. |
- Data pertaining methods
- Methods for removing noises and out layers.
- Simple and multi-regression models
- Decision tree and Random forest models.
- Ensemble Learning Model
- Bayesian LearningModels
- Unsupervised Learning: Clustering: K-means/Kernel K-means. Dimensionality Reduction:
CO–PO Mapping:
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | |
| CO1 | 3 | 3 | 3 | 3 | 3 | |||||||
| CO2 | 2 | 2 | 2 | 3 | 3 |