Student, who passed the course satisfactorily will be able to:

• present the data and its descriptive analysis
• distinguish between regression and classification problems
• apply regression or classification algorithms to solve related problems
• code their own algorithms for specific applications in Statistical and Machine Learning
• understand the fundamentals of Support Vector Machine and be able to apply to specific problems
• distinguish between supervised and unsupervised learning methods in related applications