Course Outcome
CO1 : Apply basic concepts of Machine Learning and Understanding of standard learning algorithms.
CO2 : Analyse mathematical modelling of various Machine Learning algorithms.
CO3: Understanding challenges of machine learning like data characteristics, model selection, and model complexity.
CO4: Identify strengths and weaknesses of machine learning techniques suitable for a given problem domain and data set.
CO5: Design and implement of various machine learning algorithms in a range of real-world applications.
CO6: Evaluate and interpret the results of learning algorithms.
Course Content : Syllabus Link
Teaching and Examination Scheme
Resource Person
Ronak Patel: ronakpatel.ce@charusat.ac.in, Mrugendra Rahevar: mrugendrarahevar.ce@charusat.ac.in