This package contains functions to find similarities between arrays

Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in para…

A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.

Compute the Pearson correlation to be used in Gaussian copulas

This Rust program reads values from a CSV file, calculates various statistics, and computes the Pearson Correlation Coefficient.

Una entidad gubernamental responsable de la gestión de la salud en Italia enfrenta el desafío de comprender y analizar la propagación del COVID-19 para tomar decisiones informadas y eficaces en la gestión de la pandemia. Como científico de datos nuestra tarea es presentar insights que responden a las inquietudes de la entidad

This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.

Calculating the Pearson Correlation Coefficient for big data

In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.

All the R scripts I used during my time as a grad student at Clemson University

Data vizualitation and several graphs, based on the dataset: AllCountries.csv

Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods

Book recommendation system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms

This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).

Generate various plots and statistics to develop analysis on fictional data regarding the testing of new drugs.

A data analysis project aimed at enhancing the quality of the provided wines through an in-depth analysis of the underlying chemical parameters.

The Pearson correlation coefficient program is a C++ program that takes input from the user in the form of two vectors of float values, representing two variables X and Y.

The dataset you can find in Kaggle

A project to explore various aspects and factors associated with Youtube videos to gain valuable insights.