Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.
What Are The Three Stages To Build The Model In Machine Learning?
Is machine learning hard?
How do I learn Python machine learning?
What is the method to avoid overfitting?
Explain how do you handle missing or corrupted data in a dataset?
How can we use your machine learning skills to generate revenue?
Pick an algorithm and write a Pseudocode for the same?
Explain the difference between bayes and naive bayes?
How do you handle missing or corrupted data in a dataset?
What is ‘tuning’ in ML?
Explain the difference between a generative and discriminative model?
Is macbook good for machine learning?
How do you ensure you're not overfitting with a model?
How would you use fl score?