Derive logistic regression equation
Sr Data Scientist Interview Questions
3,496 sr data scientist interview questions shared by candidates
They asked me some DS questions that are possible through a remote screening.
Was mostly grilled on a few case studies and a lot of ML fundamentals. Make sure you understand all the ML techniques you've used to a fair bit of depth. Even the case studies were decently challenging, as opposed to other DSaaS companies where they were either too vague or too straightforward.
Extended discussion on projects Questions on Decision Trees, SVM, LSTMs and other algorithms
Q: Can you explain one of your projects end to end ? Q: Can you explain the concept of over-fitting in simple words ? Q: Share a experience where you were challenged ? Q: What do you really want from life, why do you want to move to Fractal ?
1. Resume Based 2. NLP based case studies
Boosting, bagging ,random forests , regression
Mostly related to projects and Machine learning algorithms.
(Ohne Vorbereitungszeit) Präsentiere ein Projekt, an dem du gearbeitet hast, welches für Zühlke relevant ist.
1. "Explain the tradeoff between bias and variance." 2. "Explain what regularization methods are." 3. "Explain how to build a decision tree." 4. "Explain the difference between bagging models and boosting models." 5. "Explain the difference between GRU and LSTM models." 6. "Explain the difference between a CNN and RNN model." 7. "Explain how transforms work." 8. "Explain how BERT works."
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