Course Outcomes
6CS4-22.1 |
Understand the mathematical and statistical prospectives of machine learning algorithms through python programming. |
6CS4-22.2 |
Design and evaluate the unsupervised models through python in built functions. |
6CS4-22.3 |
Evaluate the machine learning models pre-processed through various feature engineering algorithms by python programming. |
6CS4-22.4 |
Design and apply various reinforcement algorithms to solve real time complex problems. |
6CS4-22.5 |
Design and develop the code for recommender system using Natural Language processing |
6CS4-22.6 |
Understand the basic concepts of deep neural network model and design the same. |
Mapping of COs and POs
COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
CO1 |
1 |
2 |
1 |
1 |
- |
- |
- |
- |
2 |
1 |
- |
2 |
- |
1 |
- |
CO2 |
2 |
1 |
2 |
- |
- |
- |
- |
- |
2 |
1 |
- |
2 |
2 |
- |
- |
CO3 |
- |
2 |
2 |
- |
- |
- |
- |
- |
1 |
1 |
- |
2 |
2 |
- |
- |
CO4 |
- |
- |
- |
2 |
- |
- |
- |
- |
2 |
1 |
- |
2 |
- |
- |
2 |
CO5 |
- |
- |
1 |
2 |
- |
- |
- |
- |
2 |
1 |
3 |
2 |
- |
- |
2 |
CO6 |
- |
1 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
- |
- |
2 |
Avg |
1.5 |
1.5 |
1.5 |
1.67 |
- |
- |
- |
- |
1.8 |
1 |
3 |
2 |
2 |
1 |
2 |