Course Outcomes
6IT4-02.1 |
Demonstrate a variety of supervised machine-learning models and show case their applications. |
6IT4-02.2 | Illustrate various applications of unsupervised machine learning models. |
6IT4-02.3 | Recognize diverse machine-learning algorithms through statistical learning techniques. |
6IT4-02.4 | Discuss the methodologies of semi-supervised learning and reinforcement learning. |
6IT4-02.5 | Employ the concepts of Neural Networks within the realm of Machine Learning. |
Mapping of COs and POs
COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 |
CO1 |
3 |
3 | 2 | 1 | 2 | - | - | 2 | - | - | - | 3 | 3 | 1 | 3 |
CO2 | 3 | 3 | 2 | 1 | 2 | - | - | 2 | - | - | - | 3 | 2 | 1 | 3 |
CO3 | 3 | 3 | - | 3 | - | - | - | - | - | - | - | 3 | 3 | 1 | 3 |
CO4 | 3 | 3 | - | - | 1 | - | - | - | - | - | - | 3 | 2 | 1 | 3 |
CO5 | 3 | 3 | 2 | 3 | 2 | - | - | 2 | - | - | - | 3 | 3 | 1 | 3 |
Avg | 3 | 3 | 2 | 3 | 2 | - | - | 2 | - | - | - | 3 | 3 | 1 | 3 |