Question

What should you do when data are missing in a systematic way in data science?

Answer 1

Step-by-step explanation:

of a data mining exercise largely depends on:CorrectCorrect.1 / 1pointsThe quality of the data.The programming language used.The data scientist.The scope of the project.2. When data are missing in a systematic way, you can simply extrapolate the data or impute the missing data by ±llingin the average of the values around the missing data.CorrectCorrect. When data are missing in a systematic way, you should determine the impact of missing data on theresults and whether missing data can be excluded from the analysis.1 / 1pointsFalse.True.Data MiningQuiz, 5 questions

9/12/2018What is Data Science? - Home | Coursera2/33. What is an example of a data reduction algorithm?

Answer 2

Answer:

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions

Step-by-step explanation: