This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Repository showing r squared can be negative

Step-by-step concept proof and examle of the Least Square Method for Linear Regression using R language. The code is long with the purpose to show what goes under the hood in a linear regression calculation.

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229

Regression

We have data-set related to a particular show of a media company (like Hot star) and we need to predict the no of viewers (Regression Problem).