1. Predictive maintenance case - if you have more time how will you explain to a client how you'll improve a model 2. Random forest - if you have a noisy dataset (lots of features that don't matter) whats the probability of the 2 features of interest being present in any single tree that randomly selects 50 features out of 100
why do we need multilevel caching and my project related questions
tons of machine learning cases
Build a model that predicts Y based on sci-kit learn.
Q : Pouvez-vous nous parler de votre projet de segmentation d'IRM ? Quelles ont été les difficultés ? Quelles compétences en avez-vous tiré ?
Machine Learning Models, NLP, Performance Metric
behavior assessment and case study
Why are microchip transistors shaped like triangle?
1. Explain your projects in detail 2. Explain the evaluation metrics 3. Tell me about ResNets that you used
Explain different regression methods, explain gini coefficient, explain different loss functions and compare them etc
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