B.S. in Data Science & Analytics (DSM351)

Course Outcomes

CO	COGNITIVE ABILITIES	COURSE OUTCOMES
CO1	REMEMBERING	Recall key machine learning concepts, types, and terminology.
CO2	UNDERSTANDING	Explain the principles behind supervised, unsupervised, and ensemble learning techniques.
CO3	APPLYING	Implement ML algorithms for regression, classification, and clustering using Python libraries.
CO4	ANALYSING	Analyze model performance using appropriate metrics and validation techniques.
CO5	EVALUATING	Evaluate the suitability of various models and tune hyperparameters effectively.
CO6	CREATING	Develop complete machine learning solutions and deploy models using Python.