Skewed Data doesnt follow normal distribution My data (continuous) is highly skewed and it doesn't follow the normal distribution. Using sns.distplot I found out that exponweib fits the data better.

How to deal with this?

My end goal is to use the data for machine learning model (SVM).
To address skewed data you can do data transformation like logarithmic transformation, squared transformation etc.

Alternately you could try non-parametric machine learning algorithms that does not have any assumption of normality of x variables.

Hope this will help....