https://github.com/kwokhing/yandexcatboost-python-demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost

Last synced: 09 Apr 2025

https://github.com/tlatkowski/tf-feature-selection

Implementation of various feature selection methods using TensorFlow library.

f-statistics f-test feature-extraction feature-importance feature-selection fisher mrmr pearson-correlation tensorflow tensorflow-experiments tensorflow-library ttest

Last synced: 25 Jun 2025

https://github.com/rubenvar/calculate-correlation

A package that calculates correlation between two arrays. Simple, with no dependencies

arrays correlation correlation-coefficient javascript math npm pearson-correlation statistics

Last synced: 07 May 2025

https://github.com/kmedian/korr

collection of utility functions for correlation analysis

binary-correlation confusion-matrix correlation correlation-analysis correlation-matrix correlation-pairs eda kendall kendall-tau matthews p-value pearson pearson-correlation pypi python rank-correlation sample-correlation spearman

Last synced: 12 Apr 2025

https://github.com/nikolas-virionis/linear-regression-model

An npm package to make it easier to deal with a handful of values, and try to model them in one of the most used mathematical models, with an R/Numpy-like accuracy algorithm

coefficient-of-determination correlation dataset insight linear linear-models linear-regression pearson-correlation r-squared regression

Last synced: 27 Jan 2026

https://github.com/fblupi/recommender-system-cf-java

Recommender System based on Collaborative Filtering using Java

collaborative-filtering movielens pearson-correlation recommender-system

Last synced: 25 Jun 2025

https://github.com/allenvox/pearson-correlation

Calculating the Pearson Correlation Coefficient for big data

ci cmake cpp cpp17 github-actions pearson-correlation pearson-correlation-coefficient probabilistic-programming probability statistics

Last synced: 29 Apr 2025

https://github.com/giatraskon/clustering-countries-socioeconomic-health-analysis

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

calinski-harabasz-index clustering country-data data-analysis data-visualization davies-bouldin-index elbow-method feature-selection health-indicators human-development-index k-means-clustering k-median-clustering k-medoids-clustering machine-learning matlab pca pearson-correlation silhouette-score socio-economic-indicators unsupervised-learning

Last synced: 29 Jan 2026

https://github.com/maxgfr/similarities

This package contains functions to find similarities between arrays

array-comparison combinatorics node pearson pearson-coefficient pearson-correlation pearson-correlation-coefficient similarities typescript

Last synced: 07 Feb 2026

https://github.com/balaka-18/hybrid-recommendation-system

A hybrid movie recommendation system

content-based-recommendation cosine-similarity pearson-correlation recommendation-algorithms recommender-system user-based-recommendation

Last synced: 28 Jul 2025

https://github.com/aungkaungpyaepaing/book-recommendation-system

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

accuracy-testing bookrecommendsystem collaborative-filtering pearson-correlation recommendation-system user-based-recommendation

Last synced: 13 Aug 2025

https://github.com/luceldasilva/covid_19_italia

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

covid-19 deepnote google-colab jupyterlab pearson-correlation python random-forest scikit-learn

Last synced: 31 Jan 2026

https://github.com/myself-aas/quantium_data_analytics_forage

This project analyzes retail customer chip purchasing behavior using Python, focusing on customer segmentation and key spending drivers to provide data-driven insights for strategic category management recommendations.

data-analysis data-engineering data-science data-visualization feature-engineering forage internship-project matplotlib-pyplot numpy-library pandas-dataframe pearson-correlation python quantium-virtual-experience scipy-stats seaborn

Last synced: 31 Jul 2025

https://github.com/kivanc57/feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

boxplot clustering correlation data-science data-visualization descriptive-statistics explanatory-data-analysis pearson-correlation r scatter-plot spearman

Last synced: 06 Jun 2026

https://github.com/fblupi/recommender-system-cf-ruby

Recommender System based on Collaborative Filtering using Ruby

collaborative-filtering movielens pearson-correlation recommender-system

Last synced: 25 Mar 2025

https://github.com/fblupi/recommender-system-cf-coffee

Recommender System based on Collaborative Filtering using CoffeeScript

collaborative-filtering movielens pearson-correlation recommender-system

Last synced: 16 Oct 2025

https://github.com/ouroboro/timehive

Hierarchical moving-window statistical analysis for time series.

correlation-analysis kendall-knight mann-kendall moving-average moving-window pearson-correlation statistics time-series trend-analysis

Last synced: 01 Feb 2026

https://github.com/lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

chi2-contingency jupyter-notebook matplotlib numpy pandas pearson-correlation pyplot python seaborn

Last synced: 17 Apr 2026

https://github.com/noluyorabi/bravais-pearson-interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit

Last synced: 17 Apr 2026

https://github.com/willie-conway/boston-housing-market-analysis

This repository contains an 📈analysis of the 🏘️Boston Housing Data focusing on the factors influencing housing prices. Using statistical tests and data visualizations, we explore key relationships, including the impact of proximity to the Charles River 🌊, the age of homes 🏡, the NOX concentrations 🧪, and employment center distances 🚗.

analysis anova boston-housing-dataset boston-housing-price-prediction matplotlib nox pandas pearson-correlation python regression-analysis scipy seaborn statsmodels t-test

Last synced: 30 Apr 2026

https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation

Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.

catboost efficientnet exploratory-data-analysis huggingface jupyter-notebook matplotlib numpy pandas pearson-correlation python remote-sensing seaborn solafune timm transformer

Last synced: 02 May 2026

https://github.com/chen0040/spark-ml-recommender

Package provides java implementation of big-data recommend-er using Apache Spark

alternating-least-squares content-collaborative-filtering cosine-similarity jaccard-similarity pearson-correlation rdd recommender recommender-system spark spark-ml

Last synced: 03 Apr 2025

https://github.com/pngo1997/joke-recommender-system-image-segmentation-clustering

Create an Item based collaborative filtering Recommender System and Image Segmentation Clustering.

collaborative-filtering cosine-similarity item-based-recommendation kmeans-clustering pca pearson-correlation python recommender-system svd

Last synced: 16 May 2026

https://github.com/vikascd/netflix-recommender-system

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

dbscan expectation-maximization-algorithm factor-analysis google-colab heroku jupyter-notebook linear-discriminant-analysis matrix-decompositions multinomial-naive-bayes naive-bayes netflix-recommendation-system paper-implementations pearson-correlation support-vector-machine

Last synced: 14 Jul 2025

https://github.com/moeh-jama/user-based-predictor

Collaborative filtering algorithm used to predict a users rating for some unseen item using its k closest (similiar) rating users. Built using pearson's correlation, Knn, and resnick algorithm.

collaborative-filtering pearson-correlation predictive-modeling rating-system recommender-system

Last synced: 06 Oct 2025

https://github.com/zohrabgulushev/data-science-project

binarize dataleakage imbalanced-data multicollinearity pca pearson-correlation powerbi spearman-rank-correlation tableau

Last synced: 25 Jun 2025

https://github.com/vbhvsingh0/nflteam_corr_population

The goal of this project is to find the correlation in between NFL teams' win and loss with the population of the city.

data-analysis data-cleaning-and-preprocessing data-manipulation-with-pandas numpy-library pandas-python pearson-correlation python3

Last synced: 04 Mar 2025

https://github.com/poglolopez/nesarc_research

Analyzing the relationship between Social Anxiety Disorder (SAD) and family history of behavioral problems using NESARC data. Includes statistical hypothesis testing (ANOVA, Chi-Square, Pearson Correlation, Moderation Analysis). Developed as part of the Data Analysis and Interpretation Specialization from Wesleyan University (Coursera).

anova chi-square coursera-assignment data-analysis hypothesis-testing mental-health moderation-analysis nesarc pandas pearson-correlation python social-anxiety statistical-analysis

Last synced: 14 Apr 2026

https://github.com/jhaayush2004/understanding_correlations

"Explore and understand various correlation measures such as Pearson, Spearman, and Kendall through detailed explanations, mathematical derivations, and practical examples.

kendall-correlation-coefficient pearson-correlation spearman-rank-correlation

Last synced: 26 Jul 2025

https://github.com/natgluons/wrf-planetary-boundary-layer-parameters

Analysis and visualization of WRF planetary boundary layer parameters using Pearson correlation, Cartopy mapping, and radiation/runoff/waveflux modeling

cartopy pearson-correlation planetary-science radiation-physics runoff wave-equation

Last synced: 12 Aug 2025

https://github.com/fauzancodes/statistic-calculator

calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library math, statistics, numpy, scipy and scikit-learn

covariance determination-coefficient equation intercept kendall-correlation-coefficient linear-regression mean median mode pearson-correlation percentile plot polynomial-regression root-mean-square skewness slope spearman-correlation-coefficient standard-deviation statistics variance

Last synced: 18 Apr 2026

https://github.com/niteshchawla/movie-recommender-system

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

collaborative-filtering correlation-matrix cosine-similarity exploratory-data-analysis feature-engineering knearest-neighbor-algorithm mape matrix-factorization pca-analysis pearson-correlation recommender-system rmse sparsity tsne-visualization visualization

Last synced: 08 Apr 2025

https://github.com/linggarm/statistics

My personal repository where I can keep files associated with my learning of Statistics

correlation-coefficient covariance pearson-correlation spearman-rank-correlation standard-deviation statistics variance

Last synced: 26 Feb 2025