Distribution analysys of a linear regression coeficients

Repository containing data and code for the ANLY511 (Probabilistic Modeling and Statistical Computing) final project.

a comprehensive guide and codebase for conducting regression analysis using the R programming language. This repository aims to help users gain a better understanding of regression techniques and how to apply them effectively using R.

Final academic team project for "Data Science: R", a curricular course attended throughout the fall semester of my second master's degree in Business Analytics at Hult International Business School.

An R Companion for the Applied Linear Statistical Models by Kutner, Nachtsheim, Neter, and Li (2005).

多元迴歸分析，用財報指標解讀當年股價的增長

Newt lens regeneration data analysis involving a negative binomial regression model to see the relationships between age, recovery time, and the count of cells that have begun to regenerate.

This project shows the regression analysis of cyrptocurrency tweets

This project conducts price analytics and suggests optimal prices for Kellogg's cereals that would solidify Kellogg's market dominance.

Comparing current and most popular methods for estimating the effective reproduction number R in the literatures

Using R tools like ggplot2 and dplyr, analyzed small business data to understand uptake patterns for federal aid. Employed logistic regression and decision trees to pinpoint key predictors. Explored strategies like mailer campaigns to boost application rates and conducted power analysis for potential randomized trials.

Contains Data related content with R

For this project, the results of an A/B test run by an e-commerce website. My goal in this notebook is to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

Group data analysis project predicting the impact of humanitarian factors on global population dynamics using Gapminder data.

University of Utah IS 6482 - Data Mining - Taken: Spring 2020

The project consists of data obtained from the National Science Foundation’s (NSF) National Ecological Observatory Network (NEON) database. This project obtained data sets of quantified variables that are related to surface water quality, identify suitable predictors and a target response to construct ensemble based models.

This project analyzes data from American workers, including their earnings and physical characteristics.

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.