If the training error and the testing error are both high, as the number of data points increase, what measures will you take to fix the model?
Machine Learning Interview Questions
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If your training data classification accuracy is 80% and test data accuracy is 60% what will you do?
Basic Ml type Qs and DS
Tell me about yourself?
They asked coding and in depth ML concepts.
Explain conv1D operation over an image
Describe models worked with so far
What is your experience in search?
About various types of filters in images(remember kernals of filters too without fail), enhancement techniques with formulas.
What are the different performance metrics that can be used for classification and regression
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