Question
Which data analytics technique is suitable for handling
missing data points in a dataset?Solution
When dealing with missing data, data scientists can use two primary methods to solve the error:Â imputation or the removal of data) The imputation method develops reasonable guesses for missing data) It's most useful when the percentage of missing data is low.
More IT Networking Questions
? ÷ 62 × 12 = 264
[(√576 × √144) ÷ √1296]2 = ? ÷ 3
√ 729 × 5 – 220 % of 15 + ? = 120% of 160
√? = 120 - 102 + ∛125
22% of 560 + 34% of 2160 × 5/12 =? + 16% of 920
242 + 18 × 8 – ? = 356
15% of 2400 + (√ 484 – √ 256) = ?
If 14 (x - y)Â = 2744 and 14 (x + y)Â = 537824, what is the value of x?
∛21952 × 44 = ? × 14
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