correlation-matrix

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the approp…

linear-regression exploratory-data-analysis scatter-plot decision-trees polynomial-regression laso correlation-matrix error-prediction modeling-approach

UpdatedJul 28, 2020
Jupyter Notebook

LailaMahmoudi /Breast-Cancer-Detection-with-Advanced-Classifiers

Star21

Implementation of SVM Classifier To Perform Classification on the dataset of Breast Cancer Wisconin; to predict if the tumor is cancer or not.

random-forest eda kaggle kaggle-competition xgboost recall logistic-regression decision-trees knn precision breast-cancer-wisconsin svm-classifier gradient-boosting correlation-matrix accuracy-metrics

UpdatedJul 22, 2025
Jupyter Notebook

wangruinju /Double-Fusion

Star13

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

theano fmri pymc3 hierarchical-models bayesian-analysis dti correlation-matrix cholesky-decomposition

UpdatedAug 23, 2019
Python

GunnarPDX /Correlations

Star10

📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.

sharpe-ratio correlation-matrix sortino portfolio-correlation portfolio-deviation

UpdatedNov 2, 2020
Elixir

PatilNi3 /PROJECT_MACHINE_LEARNING_1

Star8

Credit Card Fraud Detection using Random Forest Algorithm

random-forest sklearn machine-learning-algorithms pandas seaborn credit-card-fraud matplotlib correlation-matrix

UpdatedDec 7, 2022
Jupyter Notebook

labrijisaad /Car-Price-Prediction

Star8

Car Price Prediction

machine-learning linear-regression jupyter-notebook correlation-matrix pairplot rfe car-price-prediction

UpdatedSep 28, 2022
Jupyter Notebook

meantrix /corrp

Star8

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…

r correlation parallel statistical-tests dataframe clustering-algorithm correlation-matrix pearson-correlation acca mixed-types compute-correlations correlation-calculations uncertainty-coefficient

UpdatedSep 9, 2025
R

kmedian /korr

Star7

collection of utility functions for correlation analysis

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

UpdatedJun 19, 2022
Python

tamaghnaroy /RandomCorrMat

Star7

Package for the simulation of random correlation matrix

correlation-matrix random-correlation-matrices generating-correlation-matrices

UpdatedMay 2, 2023
Python

Yyalexx /Inter-RAO-hackathon

Star6

ТурбоХакатон на платформе codenrock.com (DBSCAN, seaborn, matplotlib)

python data-science hackathon data-analysis data-cleaning dbscan dbscan-clustering correlation-matrix hackathon-project

UpdatedNov 22, 2022
Jupyter Notebook

Yyalexx /miniatures

Star5

function might come in handy

python numpy correlation-matrix

UpdatedNov 16, 2022
Jupyter Notebook

yash-dahima /CSE523-Machine-Learning-2023-Air-Quality-Prediction

Star5

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

machine-learning machine-learning-algorithms air-quality principal-component-analysis correlation-matrix gradient-boosting-regressor air-quality-prediction kernel-based-methods model-evaluation-metrics classical-machine-learning

UpdatedApr 15, 2023
Python

FaezehAbedi2023 /Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

Star5

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.