wnarifin.github.io hosts my lectures, files and R codes.

Libro de Apuntes - Estadística No Paramétrica

Konark Karna | AI Blog

Statistical learning repository

Investigation of Census dataset using R

A webapplication that provides a way to calculate statistical functions without having to write any code.

This repository contains files related to a longitudinal study of global democratic backsliding conducted by Lia Smith and Kayley Watson. The study utilizes R programming language for data analysis and visualization.

Streamline a data analysis process

Deck of slides introducing the PLN models from the statistical perspectives, with illustrations of the R package PLNmodels on the 'oaks' data set

Taylor True, Research Fellow, Harvard Graduate School of Education, HGSE, Education Policy and Analysis, Data Visualization and Analysis Portfolio

The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Statistics is a vital foundation for data science and machine learning, offering insights into data behavior through probability, distributions, and key analyses like T Test and Chi-Square.

A manuscripts of mine about mathematics and computer science.

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

Repo for Manzano Analytics HTML website

Introduction to Data Science: Term Project (2021W) - Predictive Analysis

[AIIM] Recall & Precision results of the UTA7 statistical analysis.

This project aims to build a prediction model to predict Revenue generated by a Movie using Movie Details and Information. We have performed Statistical analysis, Hypothesis Testing, Model Building and Validation.

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.