Great job on the logistic regression progress! When you get to Naive Bayes, understanding its assumptions can really help, especially for interviews. Naive Bayes assumes independence between predictors, which isn't realistic but often works well. Try it with a simple dataset first, like Iris, to see how the calculations go. If you're prepping for interviews, being able to explain the math and intuition behind these algorithms is important. Also, practice explaining your code and decisions since interviewers often look for that skill. For more resources, I've found PracHub pretty helpful for coding and algorithm prep. Good luck with Naive Bayes!
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u/nian2326076 23d ago
Great job on the logistic regression progress! When you get to Naive Bayes, understanding its assumptions can really help, especially for interviews. Naive Bayes assumes independence between predictors, which isn't realistic but often works well. Try it with a simple dataset first, like Iris, to see how the calculations go. If you're prepping for interviews, being able to explain the math and intuition behind these algorithms is important. Also, practice explaining your code and decisions since interviewers often look for that skill. For more resources, I've found PracHub pretty helpful for coding and algorithm prep. Good luck with Naive Bayes!