College Code REAP: 1031,   CMAT: 302
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Course Outcomes

6IT4-02.1

Understand different types of machine learning techniques and their applications in real world.

6IT4-02.2

Apply various mathematical models for supervised machine learning models.

6IT4-02.3

Apply and evaluate the unsupervised machine learning models through various clustering algorithms.

6IT4-02.4

Evaluate various machine learning algorithms through statistical learning techniques.

6IT4-02.5

Apply reinforcement learning algorithms to solve real time complex problems with an understanding of the trade-offs involved.

6IT4-02.6

Design the recommendation system using natural language processing and evaluate the machine learning models through ANN.

Mapping of COs and POs

COs 

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

PSO1

PSO2

PSO3

CO1

3

3

-

-

-

-

-

-

-

-

3

3

-

-

3

CO2

3

3

3

3

-

2

-

3

-

-

3

2

3

-

-

CO3

3

3

3

3

-

-

-

-

-

-

3

3

3

-

-

CO4

3

3

-

3

-

-

-

-

-

-

-

3

-

-

-

CO5

2

3

3

3

-

2

-

-

-

-

3

-

3

-

-

CO6

3

3

3

3

-

2

-

3

-

-

3

3

3

-

-

Avg

 2.8

-

2

-

3

-

-

3

 2.8

3

-

3

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