Linear Regression Assumptions, Boosting and Bagging. Regularisation, Feature Selection Methods, Forecasting
Cientifico Interview Questions
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Price optimization
How to build a question answering system with no training data?
¿En que año de la facultad estas cursando actualmente?
How would you query an SQL database with Tera of data?
Why do you interest in Flipkart?
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.
Explain the difference between type 1 and type 2 error.
Go through resume and many case study.
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