DataScienceOverHood
Multiple regression is an extension of simple linear regression. It is used when we want to predict the value of a variable based on the value of two or more other variables. The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable)
A list of python notebooks for Machine learning basics- regression and classification.
Regressions
Simple Multiple Regression problem to predict vehicle price based on various KPI's done as part of statistics coursework.
Desafio de Regressão para o curso de Data Science e Machine Learning da Tera. Aqui aplicamos uma regressão múltipla com seleção de 6 features e posteriormente treinamos um modelo de regressão random forest com tuning dos hiperparâmetros em que atingimos um erro médio absoluto de apenas R$ 15.400 nas previsões com um R² de 0.956
Identifying the factors affecting the attendance rate of students in Texas using descriptive and statistical analysis in Excel.
R script that performs complete multiple regression on two data sets
This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.
Regression model provides detailed insight that can be applied to further improve products and services.
This is the final written report for Statistical Methods course
illini esports discord community growth and engagement analysis
A collection of some of my R Projects
supervised machine learning
R files to accompany Statistical Reasoning in Sports by Tabor and Franklin and climate modeling project for Honors Precalculus
Performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. Implemented multiple regression to identify multivariate predictors of song popularity.
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
Conducted multivariate data analysis and exploration of wine quality dataset, and built predictive models using multiple regression in R
아주대학교 2021-2 비즈니스 애널리틱스 프로젝트
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