Top 30 Data Science Interview Questions & Answers | Data Science Interview Questions | Intellipaat скачать в хорошем качестве

Top 30 Data Science Interview Questions & Answers | Data Science Interview Questions | Intellipaat

🔥 Intellipaat's Data Science Course: https://intellipaat.com/data-scientis... 🔗 Go Through the 110+ Data Science Interview Questions To Ace Your Next Data Science Interview: https://intellipaat.com/blog/intervie... 🔗 Top Data Science Interview Questions And Answers (Asked by FAANG) Complete Slide Deck: https://forms.gle/94iMEGwKNifrYvU3A 🔗Standardization Vs Normalization:    • Standardization Vs Normalization | Feature...   #DataScienceInterviewQuestions #DataScienceInterview #DataScienceInterviewPreparation #DataScienceInterviewQuestionsForFreshers #DataScienceInterviewQuestionsForExperienced #DataScienceJobs #Intellipaat Preparing for a Data Science interview with top-tier companies like FAANG? 🚀 Our latest video, "Top Data Science Interview Questions and Answers," is tailored to guide both freshers and experienced professionals through the most commonly asked questions in the industry. Dive deep into essential topics, from foundational concepts to advanced analytics, ensuring you're well-equipped for your next interview. This comprehensive guide emphasizes effective Data Science interview preparation, offering insights into both technical and behavioural aspects. Whether you're new to the field or looking to brush up on your knowledge, this resource is designed to enhance your readiness and confidence. 📢 What's Inside? 🎯 Comprehensive Q&A 🎯 Tailored for All Levels Whether You're Experienced or Fresher 🎯FAANG Focus 📖 Below are the questions covered in this 'Data Science Interview Questions For 2025' Video: 🥇 00:00:00 - Introduction to Data Science Interview Questions 👨‍💻 Data Science Interview Questions for Freshers: 00:01:10 - Q1. Explain the types of Data Science problems along with the datasets used for each problem 00:02:42 - Q2. What are the common issues in raw datasets that require cleaning? 00:04:07 - Q3. What are the different learning mechanisms in data science? 00:05:17 - Q4. Why is standard deviation often preferred over variance when analyzing data? 00:06:10 - Q5. Overfitting Vs Underfitting 00:07:10 - Q6. Regularization in Machine Learning 00:08:35 - Q7. If a model performs well on training data but poorly on unseen data, what technique could you use to understand its generalization ability? 00:09:17 - Q8. What is the role of Activation Functions in machine learning models like Linear Regression and Logistic Regression? 00:10:06 - Q9. What is the Confusion Matrix? Describe a situation where false positive is more important than false negative and vice versa. 00:11:36 - Q10. When do we prefer a Decision Tree over a Random Forest? 👨‍💻 Intermediate Level Data Science Interview Questions And Answers: 00:12:22 - Q11. What is "Naive" in Naive Bayes Theorem? 00:15:35 - Q12. How to Handle Imbalanced Data? 00:20:05 - Q13. Explain the p-test. 00:25:02 - Q14. Eigenvalues and Eigenvectors 00:28:23 - Q15. How do you ensure that the sample chosen for a study truly represents the entire population? 00:31:48 - Q16. Gradient and Gradient Descent 00:34:14 - Q17. Define Confounding Variables. 00:35:03 - Q18. Define Bias-Variance Trade-Off. 00:38:00 - Q19. When do we use Deep Learning in a project? 00:40:10 - Q20. What is OOB Error and how is it useful? 👨‍💻 Data Science Interview Questions for Experienced: 00:42:14 - Q21. Convex and Non-Convex functions 00:45:53 - Q22. Collaborative Filtering 00:47:46 - Q23. Lazy Learning Algorithm 00:49:36 - Q24. Bagging Vs Boosting 00:51:42 - Q25. Central Limit Theorem 00:53:42 - Q26. How do you decide which learning algorithm to use for a given problem? 00:55:37 - Q27. Your features have values ranging from 1 to 10,000. How would you prepare the data for machine learning? 00:58:49 - Q28. How to handle missing values? 01:02:37 - Q29. An e-commerce site runs two designs for its homepage. How would you determine which one performs better? 01:04:24 - Q30. Feature Selection ➡️ About the Course This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects. ➡️ Key Features - (Course Features) 👉🏼 50+ Live interactive sessions across 7 months 👉🏼 218 Hrs Self-paced Videos 👉🏼 50+ Industry relevant Projects & Quizzes 👉🏼 Live Classes from IIT Faculty & Industry Experts 👉🏼 Certification from iHub IIT Roorkee & Microsoft 👉🏼 2 Days Campus Immersion at iHub IIT Roorkee 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ▶️ Intellipaat Achievers Channel:    / @intellipaatachievers   📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930