basic data science questions .
Asesor Cientifico Interview Questions
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Confusion Matrix, ML Algorithm and logistic regression.
Explain past exp project in detail with scope, business requirement, output and your role
What all model have you used for analysis and what were your inferences.
Technical round- Clustering analysis HR question- How do you cope with failure? Puzzles: Three times the sum of the digits of the number is the number itself. What is the number?
Explain math behind linear regression and EDA
Questions précises sur mes projets en data science et machine learning
Asked me to write code for CNN implementation .
ML algorithm in details. Roles and responsibilities. Statistics questions were asked.
What is GRADIENT DESENT WHAT is DNN
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