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How do you choose the right features for a model?
Explain Statistical Procedure Based Approach?
What is the difference between bayesian estimate and maximum likelihood estimation (mle)?
Can naive bayes be used for multiclass classification?
Explain the purpose of machine learning?
What is a random forest?
why is data cleaning important for analysis?
Explain demographic parity and its importance in AI fairness.
A* is optimal if h(n) is an admissible heuristic-that is, provided that h(n) never underestimates the cost to reach the goal. a) True b) False
Explain the Algorithm Technique of Learning to Learn in Machine Learning?
How has your prior experience prepared you for a role in data science?
What is travelling salesman problem?
You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.
What is the difference between data mining and machine learning?
What Are The Steps Involved In Machine Learning Project?
