An outlier is a data point that does not fit the pattern of other values in the dataset. Outliers can be used to identify unusual patterns and trends.
There are many ways to detect outliers in a dataset, but the most common methods are:
Value-of-the-Median (VOM)
Median Absolute Deviation (MAD)
Outliers are a statistical anomaly that is not in line with the rest of the data. They can be defined as a group or an individual that has a very high or low value when compared to other values. Outliers are often discussed in terms of their effect on data and statistics, but they can also impact other aspects of society and culture.
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Sunita Singhal
5
please provide notes also in pdf
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Montu Mali
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nice ☺️👍
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Abdul Samed
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please provide course notes
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Shashi Kumar
5
great resource to learn data science in hindi. but in this particular video lecture there is a mistake....actually mutually exclusive event can never be independent event.
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Nikhil Fapale
5
it really amazing to study....and easily understand difficult concepts...i hope you make more video on like power bi and nueral network model....its really helpful....thank you for these
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