metaSEM package

Descriptive Statistics 2023/2024

This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"

MFTE (Multi Feature Tagger of English) Python is the Python version based on Le Foll's MFTE written in Perl. It is extended to include semantic tags from Biber (2006) and Biber et al. (1999), including other specific tags.

Udacity Data Analyst Nanodegree - Project V

Using multivariate assessments on infant EEG data to investigate visual category representations.

Comprehensive Statistical and Multivariate Analysis through Principal Component and Factor Analysis methods using SAS. Applied estimation, hypothesis testing, and dimension reduction techniques as parts of this study.

Especialização em Métodos Matemáticos Aplicados - UTFPR

is project undertaken to fulfil the internship requirement as Data Science Intern at Institute of Data Engineering, Analytics and Science Foundation - Technology Innovation Hub, Indian Statistical Institute

Tutorials on Visualizing Multivariate Linear Models in R

Classification

This repository contains all the projects and laboratory works carried out during the courses studied during the MSc in Statistics and Machine Learning at Linköping University.

Multivariate Analysis of an Indian bank's dataset about loan paybacks in R. Team project from UPC's Master's Degree in Data Science

Multivariate analysis on Social Media addiction conducted in a Rutgers Business School classroom

Exploring and visualizing the loans data from Prosper from Quarter 4 of 2005 to Quarter 1 of 2014 in the USA. This will include communicating findings from univariate , bivariate and multivariate exploration.

A set of codes to help plot Discriminant Analysis of Principal Components from Adegenet R package

To analyse COVID data-set in Peru which provides by government.

Multivariate analysis of the Titanic dataset, including descriptive statistics, exploration of demographic and socioeconomic variables, data standardization, clustering methods (k-means and hierarchical), and visualizations. The repository provides R scripts for interpreting passenger profiles.

Data and analysis associated with the project "Exploring metabolism-growth relationships within and across individual fish."