In this video, we’ll explore essential questions that may come your way in a Data Science interview. Equip yourself with knowledge and insights to ace those interviews.
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⌚Time Stamps⌚
00:00 – Intro
01:47 – Decision Tree Vs Random Forest
06:18 – Why not Logistic Classification?
09:12 – What is OOB Error and how is it useful?
14:41 – What is Naive in Naive Bayes Theorem?
22:30 – What is No Free lunch theorem
25:11 – What is Semi Supervised machine learning?
31:28 – When is median more effective than mean?
52:54 – Structured vs unstructured data
59:05 – When to use deep learning in a project?
01:08:15 – What is lazy learning algorithm?
01:16:25 – Parametric vs Non Parametric Algorithms
01:32:16 – False positive vs False negative
01:42:50 – Convex vs Non Convex functions
01:53:35 – What is online machine learning
02:05:21 – Outro
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