What is back propagation and explain it’s working.
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During analysis, how do you treat missing values?
while working on a data set, how can you select important variables? Explain
When do you need to update the algorithm in data science?
How many dentists are there in US?
Are expected value and mean value different?
Where linear optimization is used?
Explain the term "data warehouse".
Why is resampling done?
Explain the decision tree algorithm, and how is it different from the random forest algorithm?
What functions are required to principal analysis in R?
Why is Python used in data science?
Please explain eigenvectors and eigenvalues?
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