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given two tables, how does left join work when there are duplicates of the index on which we are joining in the first table (rank, aggregation)+ if there are multiple entries of the same type of an index in an table (lets say id), how would we get the max value of another column (‘age’) for each unique ‘id’ How to one hot encoding without the library difference b/w linear and logistic regression Roc-auc precision, recall - where is it used in case of imbalance dataset, which metric is suitable if we make the dataset balanced, can we still use those metrics? Which is a better metric - roc or f-score Python classes
avatar

Model Risk Manager

Interviewed at Société Générale

3.7★
Jul 24, 2024

given two tables, how does left join work when there are duplicates of the index on which we are joining in the first table (rank, aggregation)+ if there are multiple entries of the same type of an index in an table (lets say id), how would we get the max value of another column (‘age’) for each unique ‘id’ How to one hot encoding without the library difference b/w linear and logistic regression Roc-auc precision, recall - where is it used in case of imbalance dataset, which metric is suitable if we make the dataset balanced, can we still use those metrics? Which is a better metric - roc or f-score Python classes

beaucoup de questions sur le CV Definir la VaR/ méthodes de calcul/ avantages inconvenients VIF/Regularization techniques Ils ne respectent pas les candidats, 6 semaines et toujours pas de réponses. Ils ne répondent meme pas sur des emails de follow ups. C'est null
avatar

Model Risk Management

Interviewed at Société Générale

3.7★
Mar 20, 2021

beaucoup de questions sur le CV Definir la VaR/ méthodes de calcul/ avantages inconvenients VIF/Regularization techniques Ils ne respectent pas les candidats, 6 semaines et toujours pas de réponses. Ils ne répondent meme pas sur des emails de follow ups. C'est null

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