metaSEM package

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.

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

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"

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

Udacity Data Analyst Nanodegree - Project V

Especialização em Métodos Matemáticos Aplicados - UTFPR

Tutorials on Visualizing Multivariate Linear Models in R

Descriptive Statistics 2023/2024

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

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

This repo is dedicated to documenting learning process of multivariate analysis techniques.

Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.

Exercises 📝 of Multivariate Analysis using R 📊 ETL with python

US University admissions data has been analysed using multivariate techniques

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

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

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.