Course Outcomes
|
1MCS2-11.1 |
Understand the basic mathematics behind supervised machine learning models along with various applications in the real world. |
|
1MCS2-11.2 |
Construct and evaluate the unsupervised machine learning models through various clustering algorithms |
|
1MCS2-11.3 |
Evaluate the machine learning models preprocessed through various feature engineering algorithms. |
|
1MCS2-11.4 |
Apply reinforcement learning algorithms to solve real time complex problems with an understanding of the trade-offs involved |
|
1MCS2-11.5 |
Design the recommender system using natural language processing. |
Mapping of COs and POs
|
|
PO1 |
PO2 |
PO3 |
PSO 1 |
PSO 2 |
|
CO1 |
2 |
3 |
3 |
3 |
3 |
|
CO2 |
3 |
3 |
3 |
- |
- |
|
CO3 |
3 |
3 |
3 |
3 |
- |
|
CO4 |
3 |
3 |
3 |
3 |
3 |
|
CO5 |
3 |
3 |
3 |
3 |
3 |
|
Avg |
2.8 |
3 |
3 |
3 |
3 |
