Your manager wants your help to describe and segment users by their spending power for food delivery by looking at the distribution of their average basket sizes. She believes that such behaviors can be described by a parametric distribution, such as a Gaussian, and summarized with parameters

\\\\mu ,\\\\sigma

\ The distribution of a large sample of data yields the following:\ What would be reasonable action(s) to take from this?\ Select all answers that are correct:\ Report Gaussian parameters

(\\\\mu ,\\\\sigma )

to your manager as requested\ Tell your manager it is best to not fit a parametric distribution to the data and perhaps it's better to build a ML model to predict each users' spending power given their features\ Use K-Means to group data points into two clusters and report each clusters' Gaussian parameters\ Use business knowledge to define a threshold,

t

, that splits the distribution into 2 and report Gaussian parameters for each split,

P(x>t)

Your manager wants your help to describe and segment users by their spending power for food delivery by looking at the distribution of their average basket sizes. She believes that such behaviors can be described by a parametric distribution, such as a Gaussian, and summarized with parameters , The distribution of a large sample of data yields the following: What would be reasonable action(s) to take from this? Select all answers that are correct: Report Gaussian parameters (,) to your manager as requested Tell your manager it is best to not fit a parametric distribution to the data and perhaps it's better to build a ML model to predict each users' spending power given their features Use K-Means to group data points into two clusters and report each clusters' Gaussian parameters Use business knowledge to define a threshold, t, that splits the distribution into 2 and report Gaussian parameters for each split, P(Xt) Assume that this represents a mixture of Gaussians, fit a Gaussian Mixture Model (GMM) and evaluate its likelihood scores such as AIC