What is the difference between data science, machine learning and artificial intelligence?
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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.
How will inspect missing data and when are they important for your analysis?
What are the types of biases that can occur during sampling?
What is meant by Random Forest Classifier?
Write a function to extract the first name from the string?
What are various steps involved in an analytics project?
What is the difference between data science, machine learning and artificial intelligence?
What is a linear regression?
Define linear regression?
What are requirements for clustering?
What are the differences between overfitting and underfitting?
How can you decide if one algorithm is better than the other?
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