In Machine Learning, checking the normality of a dataset is very important. Hence, certain tests are performed on a dataset to check its normality. Some of them are:
D’Agostino Skewness Test
Shapiro-Wilk Test
Anderson-Darling Test
Jarque-Bera Test
Kolmogorov-Smirnov Test