@vikas_10 wrote:
hello everyone
i am working on a model in which i want to use linear regression for making predictions. while doing data exploration in python, i came to know that distribution of a few of the features is not normal. on the other hand, linear regression assumes normal distribution of the data. what should i do with the features with non-normal distribution? also, what will happen if i apply linear regression on the original data without treating it?
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