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. ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ✨ Hashtags✨ #DataScience #InterviewPrep #CareerTips #DataScienceInterview #JobPreparation #SimplifiedLearning #TechInterviews ⌚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