Z SCORE NORMALISATION IN DATA MINING WITH EXAMPLE | DATA MINING LECTURES
The essence of z score in data mining is the data transformation by the conversion of the value to a common scale where an average number equals zero and a standard deviation is one. A value is normalized to ′ under the formula of the z score.
The formula for calculating a z-score is z = (x-μ)/σ, where x is the raw score, μ is the population mean, and σ is the population standard deviation.
Follow us on:
Instagram: / ed.tech
Facebook: / edtech18
Website: http://www.edtechnology.in/
#edtechnology #zscorenormalisatoin #normalisationindatamining
On this page of the site you can watch the video online Z SCORE NORMALISATION IN DATA MINING WITH EXAMPLE | DATA MINING LECTURES with a duration of hours minute second in good quality, which was uploaded by the user Ed Technology 01 September 2020, share the link with friends and acquaintances, this video has already been watched 7,763 times on youtube and it was liked by 79 viewers. Enjoy your viewing!
