Using Mulitiple Analysis of Variance (MANOVA) for estimating different means of species of flower in iris dataset
in Normal analysis of variance we estimate the mean of one feature
in our case there is many features to estimate the mean of them so we need a new technique
the species in flower has 3 categories for each category there are many feature effect each category differently
and for knowing the effect of each category we create a estimating interval for the mean for each one
Tools Used:
- Pandas
- Numpy
- Stats Models
- Scipy