Breaking Linear Regression

What happens if we break the assumptions of linear regression for machine learning?

RESOURCES
[1] What do linear regression parameters mean: https://datascience.stackexchange.com...
[2] This has some good intuition that distinguishes applications of linear regression: https://stats.stackexchange.com/quest...
[3] Why should residuals be normally distributed? https://qr.ae/pvl91W
[4] Penn State's notes on the assumptions of linear regression: https://online.stat.psu.edu/stat501/l...
[5]What do normal residuals tell you about your data: https://stats.stackexchange.com/quest...
[6] Wikipedia on linear regression (it's actually pretty good): https://en.wikipedia.org/wiki/Linear_...
[7] Better understanding of "Linear in parameters": https://datascience.stackexchange.com...


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