Which data analytics technique is suitable for handling missing data points in a dataset?
When dealing with missing data, data scientists can use two primary methods to solve the error: 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.
The professor _______________ over just one point for full two hours.
The hotel was not too expensive,_______
The government is implementing new regulations aimed at ensuring ______ practices within the financial industry to prevent fraud.
Fill in blank 63 with the most appropriate word.
The tech wizard Steve Jobs famously _________ his interest _______ calligraphy to the design of Apple computers.
The chairperson expressed_____ , ____ the prevalence of child labour.
...By the time I woke up the sun was shining bright. The mist-clad Banasura Hill, the second highest in Wayanad, towered over the resort resembling an ele...
The _____ of our civilization from an agricultural society to today's complex industrial world was accompanied by war.
It is a ……….. that a case of proven misbehaviour did not attract the ……….. of the political class, which alone can ………… impeachment...
The government needs a road map to expand the direct tax pie by pruning blanket exemptions for vocations such as farming and using a more proactive Big ...
