GitHub topics: correlation-matrix
Quantum-Software-Development/Integrated-Project-for-Business
Integrated Project for Business
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vyasdeepti/User-Purchase-Decision-using-Decision-Tree
This notebook demonstrates a complete machine learning workflow using a Decision Tree Classifier to predict user purchase decisions based on social network advertisements. The project illustrates each stage of the pipeline: data import, preprocessing, exploratory data analysis, model training, evaluation, and practical interpretation of the results
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lequant40/portfolio_allocation_js
A JavaScript library to allocate and optimize financial portfolios.
Language: JavaScript - Size: 2.98 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 179 - Forks: 33
meantrix/corrp
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 parallel backend.
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searchgame/bulk-correlations
Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics.
Language: Python - Size: 833 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
Manu-Martinez/prestamos-argentina
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
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Marwolaeth/polychoric 📦
Instant Polychoric and Polyserial Correlation
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AllanOtieno254/Bike-sales-analysis
This project conducts in-depth analysis and visualization on a bike sales dataset, identifying key insights such as customer revenue distribution, age group purchasing trends, profit margins by region, and inter-feature correlations.
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JamesCWeber/Amazon-Exploratory-Sales-Data-Analysis
This project is conducted to analyze the sales data of over 1000 products sold in Amazon.
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JamesCWeber/Lowe-s-Location-Analysis
This project is conducted to analyze the location data of Lowe's home improvement stores. The purpose of this project is to determine which variables will influence the number of Lowe's stores built in a location.
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JamesCWeber/BCG-X-Data-Science-Project-Part-2-Feature-Engineering
The second task given to me while completing the BCG X Data Science microinternship. Conduct feature engineering by selecting, manipulating and transforming raw data into features that can be used in a supervised learning model
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vladislavpyatnitskiy/financial.data.visualisation
Useful graphs for financial projects
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DataSagess/AlfaHack
Credit scoring ML Hack
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vargalaszlo87/draw-correlation-matrix
Draw correlation matrix in pure JavaScript
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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.
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MOULALIMS/Book-Recommendation
The Book Recommendation System is a machine learning project that leverages collaborative filtering techniques to provide personalized book suggestions to users.
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GunnarPDX/Correlations
📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.
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GunnarPDX/Nice-Charts
📊🎨 Nice looking financial chart examples.
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thimyxuan/speed-dating-analysis
A speed dating analysis
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PatilNi3/PROJECT_MACHINE_LEARNING_1
Credit Card Fraud Detection using Random Forest Algorithm
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numericalalgorithmsgroup/NAGPythonExamples
Examples and demos showing how to call functions from the nAG Library for Python
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shivamkumar818/MBTI-Personality-Prediction-from-Text-Data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
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AncaPitigoi/car-risk
This project attempts to forecast the vehicle risk rating for an insurance company. Different data mining applications will be used and compared to see which one is best fit for this dataset.
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wangruinju/Double-Fusion
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
Language: Python - Size: 4.74 MB - Last synced at: 7 months ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 2
Fedesgh/Pyspark_Household_Power_LinearRegression
Introductory project with Pyspark
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rosaaestrada/MentalHealth-Age-Analysis
Pearson's Chi-square, Analysis of Variance (ANOVA), and Correlation Matrix to analyze the relationship between mental health and age.
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cuelee/LTPI
LTPI - Liability Threshold Phenotypic Integration
Language: Python - Size: 219 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
searchgame/batch-correlations
Quickly uncover potential relationships in a CSV dataset by getting an overview of correlation coefficients between several pairs of metrics.
Language: Python - Size: 424 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
victor-malheiro/Banco-de-Portugal-classification-about-companies-being-late-in-reporting-tasks
Classification model using Gradient Goosted Trees with feature selection and explainability
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edinabwari/Data_Science_For_Everyone_Projects
This repository will contain week 1 and 2 Projects from Data Science For EveryOne Mentorship and BootCamp Program
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aarryasutar/Credit_EDA
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
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choppystick/NYC-covid-visualization
This project provides a comprehensive set of data visualizations for COVID-19 statistics in New York City. It includes time series analyses, geographic plots, and demographic breakdowns of case rates, death rates, and hospitalization rates.
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marinafajardo/prevendo-demanda-estoques
Construção de um modelo de machine learning para prever com precisão a demanda de estoque com base nos dados históricos de venda do grupo Bimbo.
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Aaditatgithub/The-Framingham-Heart-Study
Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions
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klharp/Machine-Learning-Exoplanet-Exploration
Machine Learning exercise to create models capable of classifying candidate exoplanets from a dataset.
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catherman/Data-Science-Miscellaneous
AWS S3 & Sentiment Analysis, Basic Plotting with Matplotlib, & Supervised Learning & Machine Learning with Sklearn.
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alexteghipco/Correlogram
Create beautiful tiles of scatterplots between variables in MATLAB
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kmedian/korr
collection of utility functions for correlation analysis
Language: Python - Size: 1.77 MB - Last synced at: 24 days ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 3
GiladAmar/A-new-coefficient-of-correlation
Implementation of the paper https://arxiv.org/abs/1909.10140 proposed correlation function.
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TejaswiniKatale/Recession-Domain-Adapted-Feature-Selection-Technique
A Novel Methodology of Domain Wise feature selection approach which is capable of identifying the interrelationships by focusing on Domain-Wise feature selection. It ensures that correlated and similar features are considered together by grouping them in similar domains based on correlation values
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fatimagulomova/iu-lessons
IU Lessons
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jessislearning/Medical-Data-Visualizer Fork of freeCodeCamp/boilerplate-medical-data-visualizer
Data Analysis with Python project from freeCodeCamp (3 of 5)
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DataScienceVishal/Boston_House_Price_Prediction
Predicting house prices in Boston using the XGBoost regressor model.
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Yazangthb/ML_basics
This repository includes a small project that includes main ML topics as a reference.
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yourstrulyhb/contributing-factors-to-twitch-viewership-nb
A mini paper in machine learning which determines factors that affect Twitch stream views. Data obtained from Kaggle.
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labrijisaad/Car-Price-Prediction
Car Price Prediction
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vicaaa12/advanced-machine-learning
Advanced Machine Learning
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Jean-LucasLS/Regressao-Linear-1
Utilizando-se a técnica de regressão linear, com o auxílio do framework scikit-learn, foram realizados dois projetos nos quais foram utilizados dois databases diferentes (um de consumo de cerveja, e outro do preço de imóveis). Utlizando-se ambos, foi possível prever o consumo de cerveja e o preço dos imóveis, com base nas variáveis explanatórias.
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jamestiotio/pns
SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project
Language: Python - Size: 6.79 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Mukul-kush/SaaS-Pipeline-Conversions
Sales Pipeline Conversion in a SAAS Startup
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phancykemunto/Exploratory-Data-Analysis-EDA-
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.
Language: Python - Size: 848 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
tamaghnaroy/RandomCorrMat
Package for the simulation of random correlation matrix
Language: Python - Size: 51.8 KB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2
CCFGomes/Fitbit-Data-Analysis
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.
Language: Python - Size: 752 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
kostrykin/cnvmats.py
Represent convolution/correlation matrices in Python 2.7 without the need to actually compute them.
Language: Python - Size: 2.18 MB - Last synced at: 25 days ago - Pushed at: about 9 years ago - Stars: 0 - Forks: 0
LailaMahmoudi/Breast-Cancer-Predictions-With-SVM
Implementation of SVM Classifier To Perform Classification on the dataset of Breast Cancer Wisconin; to predict if the tumor is cancer or not.
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unnatibshah/LASSO-and-Boosting-for-Regression
LASSO and Boosting for Regression on Communities and Crime data
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karvenka/netsci-project
Network Analysis for Financial Markets
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vaitybharati/Multi-Linear-Reg
Multi-Linear-Reg
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CTCycle/Dataset-Explorer
GUI application (python-based) to perform simple data cleaning duties and data analysis (histograms, cumulative distribution, regression)
Language: Python - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
rudycav/World-Happiness-Scores
Functional specification to calculate per country's happiness score
Language: R - Size: 419 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
YasmineJedidi/Data-Analytics-Python-Projects-Set1
This is set one of my data analytics projects with python (beginners set). It covers basics like data cleaning, correlation, descriptive statistics, as well beginner projects for KNN classification and regression, decision trees, and random forest.
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txrunn/ntr-orthogonalization
A MATLAB library designed to help fMRI block-based studies construct word lists for experiments, ensuring minimal correlation between words. This library provides methods for adjusting word list length and offers flexibility for user customization.
Language: MATLAB - Size: 77.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AnamikaRekha1999/Spotify-Cross-Border-Hit-Analysis-Project
The Spotify Cross-Border Hit Analysis project was conducted as part of the Introduction to Data Analysis course at Drexel University in Philadelphia. The project aimed to investigate the factors that contribute to a song becoming a cross-border hit. The top fifty songs from the ten leading streaming countries were acquired using the Spotify API.
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ItsTrixl/Iris-Flower-Classification
The Iris flower dataset consists of three species: setosa, versicolor, and virginica. These species can be distinguished based on their measurements.
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kristywhim/494_final_project Fork of Rita-Li527/494_final_project
Poster is available:
Language: R - Size: 62.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Ola76/Titanic_Dataset
In the project, Titanic data was obtained from Kaggle.com. The aim is to understand the survival rate and classes on the passengers.
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EliaFantini/Mobile-Apps-Data-Visualizations-Website Fork of com-480-data-visualization/project-2023-insightsquad
Project of Data Visualization COM-480 of InsightSquad
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Siddharth1989/ProspectiveTopUpCustomerPrediction
Developed a model/Spark ML pipeline stream to identify potential customers that may purchase top up services in the future.
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k-radford/CptS315
Intro to Data Mining | Washington State University | Janardhan Rao Doppa
Language: Python - Size: 2.37 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
nathannahn/kickstarter-analysis
Statistical analysis of Kickstarer campaigns using histograms, line graphs, and logistic regression in order to determine how successful Kickstarter campaigns have gotten over the past few years
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MeghnathReddy/Concrete-Compressive-Strength-Prediction
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 appropriate concrete for bridges, houses construction.
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MrinalJain17/drake
Implementation of: Clustering of the structures by using "snakes & dragons" approach, or correlation matrix as a signal - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223267
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DablewCodes/Data-Correlation-Analysis
A correlation analysis done on a movies dataset to find highest correlating factors for gross revenue generated by a movie
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jjdlg361/Pandas-Correlation-Matrix-Plotter
Easily visualize the correlation between different variables in a given dataset.
Language: Python - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Yyalexx/miniatures
function might come in handy
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Yyalexx/Inter-RAO-hackathon
ТурбоХакатон на платформе codenrock.com (DBSCAN, seaborn, matplotlib)
Language: Jupyter Notebook - Size: 7.29 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
Sineme01/House-Rate-Predictor
House Rate Predictor
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
franklinjtan/Portfolio-Diversification-Correlation-Risk-Management-with-Python
Determining uncorrelated returns
Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
guilhermedom/pyspark-horsepower-multilinear-regression
PySpark for multiple linear regression on car horsepower using SMOTE for data augmentation.
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
watanabe-j/eigvaldisp
R package for statistics of eigenvalue dispersion indices
Language: R - Size: 188 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AnanyaPolymer/Machine-Learning-Projects
Machine learning projects done for micro credential in data science course
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aster-fung/kaggle_phishing_webpage_classifier
Random forest ML model for phishing website detection
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dev-ev/isobaric-correlations
Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set
Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
schatzederwelt/gold-recovery-prediction
Добыча золота - предсказание коэффициента обогащения
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a-t-em/KNN-book-recommendation-engine
NearestNeighbors and correlation matrix for book recommendation.
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
guilhermedom/neural-regressor-house-prices
4-layer neural network on house price linear regression.
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AylinNaebzadeh/NYC-Yellow-Taxi-Trip-Data-Analysis
There are implemented some data mining and data processing algorithms over the NYC yellow taxies dataset, which have been provided in Kaggle.
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
guilhermedom/correlation-matrix-for-regression
Demonstration of how to use correlation matrices to pick the best variables for polynomial regression.
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guilhermedom/diabetes-neural-network-diagnosis
Fully connected neural network diagnosing patients with diabetes.
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starkjones/NYC-Condominium-Rental-Income-Analysis
Predicting condominium rental income using comparable units and various models
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MoinDalvs/Learn_Multi_Linear_Regression
Prediction of Miles per gallon (MPG) Using Cars Dataset
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Kovenda/R-Shiny-App-to-predict-Factors-Affecting-Survival-of-CHD
R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.
Language: R - Size: 474 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
rmead7/Aerial-Biomass-Production
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
Language: R - Size: 248 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
jduarte00/clustering_shrinkage_estimator
Implementation of the correlation matrix estimator using shrinkage technique with clustering.
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existentialplantperson/Week_14
Week 14 - Multiple Linear Regression and Logistic Regression
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existentialplantperson/Week_12
Week 12 - Intro to Machine Learning
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chuksoo/vehicle_price_analytics
Practicum by Yandex Project 2: This Exploratory Data Analysis (EDA) project is prepared to analyze Crankshaft car listing and determine which factors influence the price of a vehicle.
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UBC-MDS/eda_utils_py
This package focuses on the tasks of dealing with outlier and missing values, scaling, and correlation visualization.
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Divya171997/Analysing-Factor-Affecting-GDP
Exploratory Data Analysis and Visualization-GDP is one of the most important indicator in determining the performance of country economy.The significant factors affecting gdp are population,agriculture,service,industry,health,migration,urban and obesity which are recorded in the dataset. Null hypothesis is that population,agriculture,service,industry,health,migration,urban and obesity are the factors not affecting the gdp per capita of the countries. By analyzing the data we have to find out whether or not these factors affecting gdp per capita of the country. For undergoing the analysis,we have used CIA_Factsheet dataset that records different factors affecting gdp of the countries for the year 2016.Briefly factors has been described and stated hypothesis has been validated.
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Arda13/Clustering_Term_Project
Clustering project for assessment of Unsupervised Learning lecture (Jacek Lewkowicz)
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