What is Bagging? Along with case study related to Random Forest consisting 100 features and 100000 records? Number of records and features in each decision tree?
Data Associate Interview Questions
2,710 data associate interview questions shared by candidates
1) Previous Organization Work as Junior AI Scientist along with questions related to methodology with a case study related to multi time series problem.
Q: Tell me about your self! Q: Connect the image encryption project you have done and relate it to pharma industry how could we use them? Q: Based on datasets given which Machine Learning algorithm would you prefer? Q: How would you evaluate the performance of your training model? Q: Did you partispate in any online coding platforms for machine learning and data science related ones? Q: Why Novartis? Q: How do you think your skills and knowledge be useful to Novartis? Q: Any questions for me! Thats it guys hope best of luck to you
why crisil? questions from balance sheet and profit and loss accounts
How do you handle imbalanced datasets when building a classification model? Explain the techniques you would use. What statistical tests would you use to compare the effectiveness of two different machine learning models? Why? Can you explain the bias-variance tradeoff and how it impacts the performance of a machine learning model? How would you evaluate the performance of a clustering algorithm, given that there are no true labels? What are the key assumptions of linear regression, and how would you test if they hold for a given dataset?
Difference between mean vs median, Going through my work on the case study (useless b/c it is wasting more interview time that could be spent discussing my past work/projects/skill-set), Handling outliers or missing data, Graph questions (could not get to for length of interview) Make sure you explain things in a brief manner. That may have been why I did not move forward.
Have you read the job description?
withiut using distinct get me the unique values in sql
They asked my about new cutting edge technology at that point of time which was 2021 regarding Cloud, hadoop
• Your professional snapshot • Data Science Case study, you worked upon • Various techniques used for handling missing values • Assumptions of Regression • ROC, AUC; precision, recall • High recall, low recall • SVM, kmeans • Order of excecution of SQL query
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