Assessment: 3 parts involving coding, code review, and creating a design doc for a problem (estimate order processing time).
Machine Learning Consultant Interview Questions
8,212 machine learning consultant interview questions shared by candidates
Screening: Questions about current projects, python, neural networks.
Questions about resume, past experiences, including in-depth technical questions relating to this.
Difference between Xgboost and LightGBM
Standard statistics questions about p-values, clustering, classification. Probability of default (PD) modeling was the main questions. Also asked about KS statistic, multicollinearity, boosted trees.
Logistic regression coding, leetcode coding, llm, ml, dl
Coding/Problem Solving (credit card use case)
Explain Model development full pipeline
Un problema de programación muy oscuro.
A customer dataset, to clean and prepare, then develop a model in order to predict if a customer will buy or not.
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