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

This repo contains implementations of various Machine Learning Algorithm with R Programming Language.

Minimum Density Power Divergence Estimation for Multivariate Datasets

Principal Component Analysis (PCA) to determine Spending Habits of Youth based on their Movie Genre Preferences & Personality Traits

Multivariate Analysis project of Spotify and Youtube, which made as a final project of Multivariate Analysis course

Exploratory Data Analysis of Customer Segmentation data for marketing analysis by using kaggle dataset

This project performs an in-depth Exploratory Data Analysis (EDA) on the Titanic dataset from Kaggle, covering Univariate, Bivariate, and Multivariate analysis — structured from beginner to advanced levels.

Estimation and testing for the multivariate t-distribution

Analysis of western white pine (pinus monitcola) terpenes in response to blister rust, fungal endophytes, and ectomycorrhizae.

Collection of data visualizations that are normally part of an EDA

R Package That Can Simultaneously Perform Factor Analysis And Cluster Analysis Of Count Data Via Parsimonious Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers. This Model Permits For Parsimonious Covariance Structures And Dimension Reduction, Thus Reducing The Number Of Free Parameters To Be Calculated.

Compilation of Multivariate Analysis done on real datasets

Correspondence Analysis in R and Python

Exploratory Data Analysis (EDA) is a significant stage in analyzing data. In this stage, the data must be understood in order to obtain a great insight from it.