Course Code

Course Outcomes

ECPL213.1

Understand the appropriate machine learning algorithms and techniques for different problem domains.

ECPL213.2

Discuss the ANN representation, appropriate problem for ANN learning

ECPL213.3

Apply analytical thinking skills to comprehend the principles of probability and Bayesian learning.

ECPL213.4

Apply critical analysis skills to evaluate the basic decision tree algorithm and its implementation

ECPL213.5

Implement clustering algorithms, including K-means and agglomerative hierarchical clustering, to group data effectively and derive meaningful insights.

Course Code

PO1

PO2

PO3

PSO1

PSO2

ECPL213.1

2

-

1

1

2

ECPL213.2

2

-

1

1

2

ECPL213.3

2

-

1

1

2

ECPL213.4

2

-

1

1

2

ECPL213.5

2

-

1

1

2

ECPL213

2

-

1

1

2