They send me a data set of urls the task 1 was to check the working and non working urls 2 Extract features from the dataset then train a classifier on this datasets 3 The script should be working from web page 4 Build a micro service api to contain your web page 5 Then use docker containers for deployment 6 Use your credit card to register free teir aws account and deploy the api on aws elastic containers 7 finally the code you write is part of your application and you are not allowed to upload it to open source project on github for example
Cientifico Junior Interview Questions
1,157 cientifico junior interview questions shared by candidates
Questions around programming experience, cloud experience, ML/AI/Analysis experience. I would highly recommend you review and really understand your projects and how they worked, what they did, what you used and what did it achieve. They will also do follow up questions based of your responses, be prepared to improvise and talk in detail. E.g. You mentioned that you used regression analysis, this is quite a broad topic, what type of regression analysis did you use exactly?
Do you have cloud and big data experience?
¿Que proyectos tienes hecho? ¿Qué herramientas sabes usar? ¿Con qué metodologías ágiles trabajaste? ¿Qué herramientas de la nube conoces? ¿Cuál has usado para tus proyectos?
General statistics questions such as what is a mean, a standard deviation, how to compare two distributions, how to study a time series etc
What is gradient descent and how its work ??
Find the sum of subsets of a set and code it on the board
Be prepared to answer very technical questions on decision trees and linear regression. There were no questions related to deep learning.
1. Talk about a project/model you are familiar with 2. Talk about some advanced feature engineering concepts
*Como você reduzia o overfitting de um classificador?
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