What are the different error metrics employed in machine learning?
Data Associate Interview Questions
2,708 data associate interview questions shared by candidates
How ZS can be benefited from your skills?
Have you worked with graph based machine learning algorithms?
1. Complete project Description 2. Describe Naive Bayes classifier 3. Case study( A person salary dataset and different campaign dataset, Predict whether he will buy the product or not) What all features will you generate from the dataset?
All short of common questions.
They asked me about DBMS and questions related to Joins
Tell me about some data structures you used and where you have used them?
Define the meaning of Unit Testing.
Give detail about any project you had used SQL or Access?
1st round online coding: python questions were easy. SQL questions though lengthy, were also easy. 2nd round Technical: Qns: 1) Explain projects briefly as mentioned in resume 2) Linear regression? Can we use classification with linear regression 3) Logistic regression, threshold score, ROC AUC curve, imbalanced classification 3) Clustering? Hierarchical , K-Means difference and explain 4) Random-forest, decision tree explain 5) Data analysis using pandas 6) Gave a problem case study and asked me to explain the steps taken: build hypothesis, what will be the impact 3rd round Technical: 1) Take one project and explain approach taken to solve in detail: business problem, data sources, pre-processing steps , feature engineering, algorithm used, evaluation metric 2) Random forest explain 3) different evaluation metrics used for classification - precision, recall 4th round HR general background check challenges faced and how did you resolve accomplishments in work
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