What are some machine learning algorithms used for clustering
Data Science Summer Intern Interview Questions
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Explain the neural network training process
Can you explain max pooling
Simple statistical and probability questions
Q : tell me about your project the goal and the output
They asked how I would handle a highly imbalanced dataset for a classification problem, specifically asking which evaluation metrics I would prioritize over accuracy to ensure the model effectively detects the minority class.
How did you learn a new concept
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
Tell me about how you implemented the LSTM model for time series data
Leetcode Question and a System Design Question
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