The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.

I took a look at the mtcars dataset in R and wanted to do an analysis on this dataset. In 2018

SPSS statistical software package. Includes Hypothesis Testing, Multiple Comparison Tests, and Interaction in Regression

Data Science II Project 1 Group Ayush Kumar, Faisal Hossain, Brandon Amirouche

🌏 선진국 여부에 따른 기대수명 예측 프로젝트 - 회귀해석 강의

Statistical Learning Theory project - EFSA

Predict customer credit card defaults for next month. Keywords: R, logic regression, decision tree

Regression Analysis of Used Car Prices

Regression models for predicting bitcoin price

The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a personally chosen model and determine an unknown trend in the cereal dataset.

Machine Learning Algorithms

Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.

🏙 What's an appropriate price? Predicting Milan's apartment prices.

Performing EDA and building model that predicts the selling prices of new homes at a Colorado ski resort

Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling

Sports Analytics in Python

Explanatory model for prices of Hybrid Electric Vehicles

This analysis is based on the multivariate normal prior

Training a predictive model to forecast the house sale price in Ames, Iowa using Supervised Machine Learning Multiple Linear Regression algorithm with Stepwise Regression feature selection.

An algorithm intended to predict the yield of any crop. Used Agricultural Data sets for building the Step-wise Regression Model. Technology Stack: R language, SQL, Linear Regression library, Plumber library, Swagger API