What else must be true?
You have run the association rules algorithm on your data set, and the two rules {banana, apple} => {grape} and {apple, orange}=> {grape} have been found to be relevant. What else must be true?
What describes the use of UNION clause in a SQL statement?
What describes the use of UNION clause in a SQL statement?
In addition to technical ability and quantitative background, which additional essential trait would you look
Imagine you are trying to hire a Data Scientist for your team. In addition to technical ability and quantitative background, which additional essential trait would you look for in people applying for this position?
Which analysis method should you use?
Your organization has a website where visitors randomly receive one of two coupons. It is also possible that visitors to the website will not receive a coupon. You have been asked to determine if offering a coupon to visitors to your website has any impact on their purchase decision.
Which analysis method should you use?
Which tool/library would you use to produce these models with the least effort?
You have been assigned to run a logistic regression model for each of 100 countries, and all the data is currently stored in a PostgreSQL database. Which tool/library would you use to produce these models with the least effort?
What is a core deliverable at the end of the analytic project?
What is a core deliverable at the end of the analytic project?
Which action should the team recommend?
A disk drive manufacturer has a defect rate of less than 1.5% with 98% confidence. A quality assurance team samples 1000 disk drives and finds 14 defective units. Which action should the team recommend?
What should you do?
You submit a MapReduce job to a Hadoop cluster and notice that although the job was successfully submitted, it is not completing. What should you do?
What describes a true limitation of Logistic Regression method?
What describes a true limitation of Logistic Regression method?
Y = b0 + b1x1+b2x2+.+bnxn
Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model :
Y = b0 + b1x1+b2x2+.+bnxn