Round 2:

• Complete ML technical stack used in project?
• Different activation function?
• How do you handle imbalance data ?
• Difference between sigmoid and softmax ?
• Explain about optimisers ?
• Precision-Recall Trade off ?
• How do you handle False Positives ?
• Explain LSTM architecture by taking example of 2 sentences and how it will be processed?
• Decision Tree Parameters?
• Bagging and boosting ?
• Explain bagging internals
• Write a program by taking an url and give a rough code approach how you will pass payload and make a post request?
• Different modules used in python ?
• Another coding problem of checking balanced parentheses?
  
  Date:31/05/21
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