Linear Regression Assumptions, Boosting and Bagging. Regularisation, Feature Selection Methods, Forecasting
Data Scientists Interview Questions
54,261 data scientists interview questions shared by candidates
Describe a time when things didn't go your way in the workplace and how you dealt with this.
Have used HPLC/MS or are familiar with techniques
Given a dataset which we cannot even see properly on hackerrank, build 2 ML models and answer insight related questions within 2 hours. It made no sense. The dataset was in raw form, had to be studied and converted into features and target, split for training/testing and report accuracy. This is not how a data science task can be completed.
¿En que año de la facultad estas cursando actualmente?
What is the reason you want to work at GSK
Why do you interest in Flipkart?
Why do you want to work at Parexel ?
Explain the difference between type 1 and type 2 error.
Go through resume and many case study.
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