A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

collection of utility functions for correlation analysis

Package for the simulation of random correlation matrix

This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.

Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics (correlation matrix).

Data Analysis for Bellabeat, extracting valuable insights on consumer smart device usage. The findings informed impactful marketing strategies, showcasing expertise in data analysis, problem-solving, and effective communication of insights.

LTPI - Liability Threshold Phenotypic Integration

SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project

Análisis de préstamos en Argentina (abril 2025). Análisis de préstamos en Argentina (Feb-Abr 2025). 1,000 clientes ficticios, ingresos $165K-$2.79M, inflación 2.5%-3.7%. Préstamos pequeño/mediano/elevado (criterios flexibles). 2 dashboards en Tableau. Python, SQL. Proyecto para fintech, startups, e-commerce. #DataAnalytics

Easily visualize the correlation between different variables in a given dataset.

Intro to Data Mining | Washington State University | Janardhan Rao Doppa

This package focuses on the tasks of dealing with outlier and missing values, scaling, and correlation visualization.

Heatmap that correlates world cuisines Wikipedia pages with the correspondent Wikipedia languages

Data Analysis with Python project from freeCodeCamp (3 of 5)

NearestNeighbors and correlation matrix for book recommendation.

Data Analyzer is a multilingual, production-grade command-line tool for analyzing structured datasets using **pandas**.

Represent convolution/correlation matrices in Python 2.7 without the need to actually compute them.

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris data was visualized using box plots, pairplot, subplot, and scatter plots for better comprehension of the dataset.