How to transform features order to make their distribution normal? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsInterpreting the evaluation result of multiple linear regressionHow to transform an imbalanced attribute to make it more suitable for linear regression?Convert exponential to normal distributionWhich Normal distribution a point belongs to?How regression algorithm works on categorical featuresFind the order of importance of random variables in their ability to explain a variance of Ycan I say that my variable is “approximately” normally distributed?Instead of one-hot encoding a categorical variable, could I profile the data and use the percentile value from it's cumulative density distribution?What data treatment/transformation should be applied if there are a lot of outliers and features lack normal distribution?How the term “R-squared” in VIF(variance inflation factor) is different from normal R-squared calculation?
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How to transform features order to make their distribution normal?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsInterpreting the evaluation result of multiple linear regressionHow to transform an imbalanced attribute to make it more suitable for linear regression?Convert exponential to normal distributionWhich Normal distribution a point belongs to?How regression algorithm works on categorical featuresFind the order of importance of random variables in their ability to explain a variance of Ycan I say that my variable is “approximately” normally distributed?Instead of one-hot encoding a categorical variable, could I profile the data and use the percentile value from it's cumulative density distribution?What data treatment/transformation should be applied if there are a lot of outliers and features lack normal distribution?How the term “R-squared” in VIF(variance inflation factor) is different from normal R-squared calculation?
$begingroup$
After sns.pairplot(df) command, I got this picture:
The question is what transformation to use in order to make the distributions normal?
Thank you
machine-learning python linear-regression
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
After sns.pairplot(df) command, I got this picture:
The question is what transformation to use in order to make the distributions normal?
Thank you
machine-learning python linear-regression
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
After sns.pairplot(df) command, I got this picture:
The question is what transformation to use in order to make the distributions normal?
Thank you
machine-learning python linear-regression
$endgroup$
After sns.pairplot(df) command, I got this picture:
The question is what transformation to use in order to make the distributions normal?
Thank you
machine-learning python linear-regression
machine-learning python linear-regression
asked Nov 21 '18 at 23:36
Sukhrat ArziyevSukhrat Arziyev
61
61
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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$begingroup$
Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?
With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!
$endgroup$
add a comment |
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$begingroup$
Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?
With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!
$endgroup$
add a comment |
$begingroup$
Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?
With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!
$endgroup$
add a comment |
$begingroup$
Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?
With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!
$endgroup$
Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?
With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!
answered Nov 22 '18 at 11:48
Random NerdRandom Nerd
708
708
add a comment |
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