Pearson's Product Moment Co-efficient of Correlation:
Spearman's Rank Correlation Coefficient:
Pearson's product moment correlation coefficient and Spearman's rank correlation coefficient are the two most common types of correlation coefficients.
Positive and negative correlations are the two forms of correlation. There are two types of correlation: linear and non-linear. There are three types of correlation: simple, many, and partial.
Choose your data sets.
For each of your x variables, calculate the standardised value.
For each of your y variables, calculate the standardised value.
Multiply and add to get the total.
Calculate the correlation coefficient by dividing the total.
The range of values is -1.0 to 1.0. There was an error in the correlation measurement if the calculated number was more than 1.0 or less than -1.0. A perfect negative correlation is represented by a correlation of -1.0, whereas a perfect positive correlation is represented by a correlation of 1.0.
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.
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
please provide course notes
Prakash Suresh Lokhande
Great. please provide pdf notes
MD Mishkat Ahsan
plzz provide pdf notes also
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