Machine Learning, Linear Regression, ANOVA, K-nearest Neighbor, Classification

Analysis of BMI and its relationship with sleep disorders, blood pressure, and smoking using the NHANES 2017-2018 dataset, with R for statistical Modeling.

This script shows how to the dataset were analysed, and how the plots in the paper were made.

Summarizes disease severity and incidence on bean leaves across five counties in western region by combining several statistical procedures in R.

Moral Anger and Disgust: Recipient vs. Initiator Focus in Moral Transgressions

Examination of Different CPUs' Performances by R and Statistics

A manuscripts of mine about mathematics and computer science.

This project focuses on predictive modeling for sports car prices, leveraging statistical analysis in RStudio. The goal is to develop robust linear regression models that effectively predict sports car prices based on their functional and technical attributes.

Does the Environmental Kuznets Curve hypothesis manifest itself in today's context?

Analysis of Categorical Variables

Course website for Experimental Design and Statistical Methods, Fall 2022

Statistics for Graduate Students: From t Tests to Mixed-Effect Models (51735) course repository

Projet d'analyse de données en R | Étude d'un jeu de données de baseball à l'aide des outils classiques des statistiques.

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

Key concepts from MS Stats Texts

📉 Statistical Analysis

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

Basics + Intermediate + Advance

how to perform t-testing & ANOVA