Course Curriculum Overview:
The course curriculum is comprehensive, covering both theoretical and practical aspects, aligning with industry requirements. I chose this course for its relevance to my career goals in machine learning and the promising job prospects.
The faculty-to-student ratio is balanced, fostering better interaction and personalized attention. The faculty members possess diverse qualifications, including industry experience, enhancing the overall learning experience. Their teaching methods incorporate real-world examples and encourage critical thinking.
Term exams were conducted in a timely manner, allowing adequate preparation. While some exams were challenging, they reflected the depth of the curriculum. Passing required consistent effort and understanding of the material, contributing to a robust learning environment.
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