Data Science Interview Questions | Day 12 | Model Deployment | ( CRISP-ML(Q) )

This video playlist on “Data Science Interview Questions” will help you in understand and deliver real-time Data Science Interview scenarios. As Data Scientists, Machine Learning experts you will gain knowledge on what is expected out of you in Data Science Interviews, here you will learn to encounter Dos and Don’ts in your Data Science Interview, In this video, Interviewee emphasizes on Data and Data Preprocessing techniques.

You will learn how to communicate on Data Science Projects, and how to explain each phase of CRISP ML Q without having to talk about it exclusively. Further in this video playlist, you will learn questions and answers as well as a discussion related to the topic of Hierarchical Clustering and the sub-category Agglomerative Clustering too. Further Non-Hierarchical clustering such as K means, and DBSCAN clustering also covered.

Model evaluation is another crucial part that will often be expected in every data science interview. So, this video includes Clustering evaluation techniques such as Silhoutee_score, Dunn Index, and Rand Index. If you are preparing for a data science job then this is a must-watch video series for you.

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This Data Science Python Interview questions session is so helpful, Trainers are giving detailed information. From this session anyone can benefit, not only Who wants to become a data scientist and also others. We can get business knowledge also with trainer's exceptional experience.