Hypothesis Testing P values FP, FN Window Functions ROC Decision Tree/Random Forest Past Project
Associate Data Scientist Interview Questions
650 associate data scientist interview questions shared by candidates
• 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
Machhine learning questions , Project realted flow, Materix
1. Basics of python Coding. 2. Basics of all the Machine Learning Models. 2. Basic SQL Queries. 3. Brief discussion on the projects you have worked on.
- End to end data science problem explanation. - Random forest, bagging and boosting - Difference between Having and Where - Importance of ROC curve - Type 1 and Type 2 error - Hypothesis testing, Confidence interval
Questions related to the industry projects and a few case studies.
Got Rejected so im not sure.
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.
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
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