Home / Programming MCQs / Data Science MCQs / Question
M
Q. Why is it essential to consider "model fairness" and "algorithmic bias" when deploying machine learning models in a capstone project?
No solution found for this question.
Add Solution and get +2 points.
You must be Logged in to update hint/solution
What is the primary purpose of the Seaborn library in Python for data analysis and visualization?
Panel is a container for Series, and DataFrame is a container for dataFrame objects.
What is the main purpose of the K-means clustering algorithm?
Which of the following problem is solved by reproducibility?
Why is it important to consider "ethics" and "bias" when working on a data science capstone project?
Which of the following web hosting service use Git control system?
What is the primary purpose of the "loc" method in Pandas when working with a DataFrame?
Discusssion
Login to discuss.