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Why do we convert categorical variables into factor? Which function is used in r to perform the same?
115How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
305How would you say data science is similar or different to business analytics and business intelligence?
277
Explain Machine Learning Based Approach?
Differentiate between statistics and ML?
Explain the importance of 80/20 rule in model validation?
Tell me what is the difference between bias and variance?
What are the advantages data mining over traditional approaches?
How is AI used in fraud detection for credit card companies?
Why is naive bayes better than decision tree?
What is conditional probability?
_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. a) Constraints Satisfaction Problems b) Uninformed Search Problems c) Local Search Problems d) Only a) and b)
Explain useful data mining queries?
Consider a problem of preparing a schedule for a class of student. This problem is a type of a) Search Problem b) Backtrack Problem c) CSP d) Planning Problem
What is 'naive' in the Naive Bayes classifier?
Can we implement classification in Tensorflow ? If Yes? What is function Name ?
Explain the deep learning and its relation to artificial intelligence?
Which is used to compressed gasses to drive (power) the robot ?
