makoczoro/Credit-Default-Risk-Analysis-EDA

This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

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dewminigunasekera/cleveland-heart-disease-

Cleveland heart disease dataset. Predicted using correlated inputs using RF. Recall 0.97 and accuracy 0.87

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

easystats/correlation

:link: Methods for Correlation Analysis

Language: R - Size: 159 MB - Last synced at: 3 days ago - Pushed at: 5 days ago - Stars: 440 - Forks: 57

zach10w/IA-Classification-Analysis

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Quantum-Software-Development/Integrated-Project-for-Business

Integrated Project for Business

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KarimDaBoss/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Francis-Calingo/ELECTIONS-CANADA-RESEARCH-PROJECT-Filipino-Canadian-Demographic-Report

Language: R - Size: 3.15 MB - Last synced at: 6 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

bindugayatri02/Insights_in_Boston_real_estate-Statistical_analysis

This project involves predicting Boston housing prices using statistical analysis and machine learning in Python. As a Data Scientist for a Boston-based housing agency, I analyzed historical housing data from the U.S. Census Service. I generated key statistics and visualizations to uncover trends and insights in the housing market.

Language: Jupyter Notebook - Size: 356 KB - Last synced at: 1 day ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

josevcm/nfc-laboratory

NFC signal and protocol analyzer using SDR receiver

Language: C++ - Size: 85.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 457 - Forks: 52

jumping2000/Quants

Financial Quantitative Analysis

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

SuryaVamsi-P/YouTube-User-Behavior-Analysis

This project uncovers audience behavior patterns by analyzing YouTube video engagement metrics using Python. From 360° EDA to interactive dashboards, it breaks down how views, likes, dislikes, and comments reveal user sentiment and content performance, built with NumPy, Pandas, Seaborn, Dash, and hypothesis testing to produce real time analytics.

Language: Python - Size: 3.18 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

dagiteferi/Financial-News-Sentiment-Stock-Market-Correlation-Analysis

Analyze financial news sentiment and its correlation with stock market movements. Use NLP, sentiment analysis, and financial analytics to uncover insights for enhanced financial forecasting and innovative investment strategies.

Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 4 - Forks: 0

Wb-az/MLib-PySpark-SoundLevel-Prediction

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

Language: Jupyter Notebook - Size: 972 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Jabulente/effects-size-measurements

This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.

Language: Jupyter Notebook - Size: 989 KB - Last synced at: 8 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

kiruthiga2001/ML_MODEL_PROJECT

In this project I will created a Binary classification Machine learning model to predict the heart disease. It classify the heart disease based on the patient features like, st-slope, Bp etc.

Language: Python - Size: 3.41 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

vaishali071017/Aerofit-Descriptive-Stats-Probability

Customer Profiling for AeroFit Treadmill Products: Unveiling Target Audience Characteristics

Language: Jupyter Notebook - Size: 389 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

Jabulente/Correllation-Analysis-Using-Python

A Python project analyzing variable relationships using Pearson, Spearman, and Kendall correlations, with statistical summaries and visualizations (heatmaps, scatter plots, pair plots). Includes dataset exploration

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Buddhi19/DevisingPoPStat

Devising PoPStat: A metric bridging population pyramids with global disease mortality

Language: Python - Size: 39.4 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 2 - Forks: 0

Nicey-y/eodp-a2-accident-analysis-and-prediction

Assignment 2 - Elements of Data Processing

Language: Python - Size: 37.1 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Bmonter7/Online-Retail-EDA

This repository contains an end-to-end exploratory data analysis of transactional data from a UK-based online retail store covering the period from December 2010 to November 2011. The goal is to uncover sales trends, customer behavior, and product performance, and to provide actionable recommendations that can guide strategic business decisions.

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chgl16/data-mining-algorithm

:bar_chart: 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

Language: Python - Size: 8.79 KB - Last synced at: 27 days ago - Pushed at: almost 6 years ago - Stars: 25 - Forks: 7

lefegiugg/Geostatistics---applied-to-forestry---Spanish-edition

Incluye diferentes códigos de análisis geoestadístico e interpolación espacial.

Language: R - Size: 5.83 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Nachoxt17/Loan-Repayment-Financial-Analysis

Analyzed borrower data to identify key financial correlations impacting loan repayment success; delivering clear, data-driven risk insights.

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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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AishwaryaGade02/Predicting-90thpercentile-of-annual-maximum-streamflow-using-Linear-Regression

Robust regression model that predicts the 90th percentile of annual max streamflow using Regression Analysis in R

Language: R - Size: 7.81 KB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Mrtols/Technological-Analysis-of-impact-of-Climate-Change-on-Food-Production

This is about analyzing the impact of climate change on the yield of the 4 food crops for 41 years. It aims to uncover the intricate relationship between climatic factors & the yield of crops, identify, quantify the kind of relationship. Also, apply machine learning(ML) Algorithms, Optimize, develop predictive models and compare the perf metrics

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Lummy-A/local_government_workforce_analysis

Analysis of workforce efficiency and performance metrics across multiple local government departments, examining the impact of employment duration and attendance on response times. Includes statistical insights and data visualizations to support strategic workforce management.

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pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

Dheyhasan/echo-trends

EchoTrends is a data visualization app that analyzes your Spotify playlists and reveals insightful patterns—such as track duration, popularity, and statistical correlations—using interactive charts and statistical tests. Built with React (frontend) and FastAPI (backend), it offers both functional analysis and a demo landing

Language: JavaScript - Size: 55.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Marlyn-Mayienga/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Milanpeter-77/Coursework-Vienna-Airbnb

Language: Stata - Size: 10.7 KB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

GeorchPz/econophysics_finance_notebooks

Jupyter notebooks on Econophysics and financial data analysis concepts, including price dynamics modeling, portfolio optimization, and various correlation techniques. The notebooks were created as part of the Econophysics course at the UIB and cover topics such as ARCH/GARCH processes, MPT, and option pricing models.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ifigeneiatsiflidou/applied-statistics-project

Project for an Applied Statistics course, involving exploratory data analysis and predictive modeling of movie revenue using engineered features and multiple linear regression.

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RameenShahid/Jane-Street-Real-Time-Market-Data-Forecasting

Jane Street has been at the forefront of innovation in trading for decades, developing advanced machine learning models to support decision-making. These models assist in actively trading thousands of financial products daily across more than 200 global trading venues.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ckdckd145/statmanager-kr

Open-source statistical package in Python based on Pandas

Language: Python - Size: 4.59 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 10 - Forks: 4

CypranA/Master-Thesis-Data-Driven-Financial-Inclusion

Repository for code and analysis related to my master's thesis on "Leveraging Big Data Analytics For Enhancing Financial Inclusion in Nigeria and Other Developing Economies. Includes scripts, notebooks, and models for analyzing financial inclusion data, assessing impact, and addressing challenges. University: CBS International Business School

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FirasKahlaoui/pca-insights

PCA Insights is a data analysis project aimed at applying Principal Component Analysis (PCA) to high-dimensional datasets for dimensionality reduction, visualization, and exploration.

Language: Jupyter Notebook - Size: 558 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

kennmai/Popularity-Decoded-Associations-Between-Spotify-Track-Audio-Features-and-Popularity

This project features two statistical models modeling the relationship between Spotify’s track audio metrics and track popularity using a dataset of over 30,000 songs. Initial findings suggest a statistically significant, though modest, relationship, with danceability explaining only a small fraction of the variance in track popularity.

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ddz16/Preformer

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

Language: Python - Size: 522 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 5

mjteran/correlation_hypotheses_EDA

This project uses correlation analysis to explore relationships between health and lifestyle factors. It involves Exploratory Data Analysis EDA, Hypothesis testing, and various Correlation tests (Pearson, Point-Biserial, Phi Coefficient, Kendall’s Tau) to identify significant correlations.

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T4vexx/IA-Classification-Analysis

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

razamehar/Statistical-Analysis-on-the-Boston-Housing-data

R-based statistical analysis of Boston Housing Data. Explored feature scales, computed descriptive stats, visualized data, and identified outliers (e.g., higher crime rates in specific areas). Examined variable relationships, calculated correlation coefficients, and presented findings via cross-classifications.

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ruru-lyy/Insurance-Customer-Data-EDA

In this repo, I explored insurance customer data with Python, focusing on EDA. I cleaned, preprocessed, and analyzed a synthetic dataset, covering statistics, distributions, relationships, and segmentation. Refer the Looker Dashboard for insights via link-

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frank01101/quasar_candidates

Exploratory data analysis in Python of the quasar candidates catalog by Richards et al., ApJS 219 (2015).

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DataSagess/AlfaHack

Credit scoring ML Hack

Language: Jupyter Notebook - Size: 150 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ndomah1/Learning-Probability-and-Statistics

This repo is a comprehensive learning resource that covers fundamental to advanced topics in probability and statistics, including probability theory, descriptive and inferential statistics, probability distributions, regression analysis, and data exploration techniques.

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Mindful-AI-Assistants/MovieRevenueAnalysis

🎬💰 Analyze movie companies' revenue, release strategies, and financial performance using statistical techniques for actionable insights. This project explores data on total revenue, number of releases, and lifetime gross to uncover patterns that can drive strategic decisions in the film industry.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

VikkiezDev/AI-Global-Index-Analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

Language: Python - Size: 1.05 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SabrinaN58/PYTHON_Analyser_les_ventes_dune_librairie

Dans ce projet, j'ai analysé les différents indicateurs de vente et réalisé une analyse du profil des clients afin d'aider l'entreprise à décider des offres à mettre en place pour une meilleure fidélisation client

Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Shivi2599/Student_Performance_Factors_Kaggle

As a data analyst with strong attention to detail and curiosity, my goal for this project was to dive deep into the dataset and uncover meaningful insights into the factors influencing student performance.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

herguad/da_stats

Basic statistics based on Netflix's database for movies originally released between 1970 and 2021.

Language: Python - Size: 2.29 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Victory-Ik/Supportive-leadership-and-employee-satisfaction-and-performance

Using data from the European Working Conditions Survey (EWCS) 2015, this research explores how supportive leadership impacts employee well-being, with work engagement serving as a mediating factor.

Language: R - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Edanur-Y/Cramer-s-V-and-ETA-Correlation-Ratio-Examples

Testing correlation between two categorical variables and testing correlation between a non-dichotomous categorical variable and a quantitative variable. ⭕SPSS

Size: 257 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aneeshmurali-n/ML-Turbine-Energy-Yield-Prediction-for-Gas-Turbine-Optimization

This project uses machine learning to predict Turbine Energy Yield (TEY) from gas turbine data, optimizing settings to improve energy output, reduce fuel consumption, and cut costs. TEY predictions help detect deviations from normal operations, signaling potential turbine issues like degradation.

Language: Jupyter Notebook - Size: 39.2 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mohiteamit/lending-club-study

Student Exercise | EDA | Lending Club Case Study

Language: Jupyter Notebook - Size: 82.3 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1

LinconAvila/Correlation-Regression-Analysis-Research-Project

Language: R - Size: 15.6 KB - Last synced at: 20 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

DRehan003/Correlation_Analysis_Webacy

I performed correlation analysis on a dataset of smart contracts in Python to identify similar risk profiles.

Language: Python - Size: 222 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Fraggle460/Study-of-Malignant-Melanoma-

This study is a data analysis exploration (using R studio) of a Malignant Melanoma dataset. The study focuses on 205 patients treated for melanoma between 1962 and 1977 at the department of Plastic Surgery, University Hospital of Odense, Denmark.

Language: R - Size: 846 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shobhikpaul/Project-Modeling-Car-Insurance-Claim-Outcomes

Predicting Insurance Claims with Machine Learning 🚗💡 Built a model to identify the single most predictive feature for insurance claims using Python, Pandas, and Scikit-Learn. Analyzed customer data, performed feature selection, and optimized a logistic regression model for accuracy. 🚀

Language: Jupyter Notebook - Size: 364 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Katyayani09/medicare_campaigns_marketmixmodels

This repository explores Market Mix Modeling to analyze the causal impact of marketing strategies on sales performance using statistical analysis and OLS regression. It helps businesses optimize campaign investments by distinguishing causation from correlation.

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calvin-wirawan/INF6027

Analysis of birth trends in England and Wales: Associations with maternal age and levels of deprivation

Language: R - Size: 1.06 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kathisnehith/Healthcare-Patient-Analysis

This project does the analyzing patient data to improve healthcare outcomes, services, and policy decisions.

Size: 153 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

harsh88maggo/MCU-Box-Office-Analysis

📊 MCU Box Office Analysis – Analyzing the box office performance of Marvel Cinematic Universe (MCU) movies using Python. This project explores revenue trends, budget correlations, and key financial insights through data analysis and visualization.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

open-risk/correlationMatrix

correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations

Language: Python - Size: 8.01 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 6

pngo1997/Adult-Income-Analysis

Explores the UCI Adult dataset, analyzing demographic and work-related factors to understand income distribution.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

G-Imola/Popularity-Feature-Analysis

Investigating quantitative features in music: Statistical analysis of popularity and its relationship to musical features

Language: R - Size: 9.26 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Onome-Joseph/Recommender-system-for-Games

This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.

Language: Jupyter Notebook - Size: 217 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

bathulaveera2022/education-ranking-analysis-Using-R-Language

A statistical analysis of CWUR university rankings (2012-2015) exploring correlation between education quality and global university rankings. Using R programming for data visualization and analysis, revealing significant correlation (rs = 0.633) with 45.72% variance explanation. Part of UH research project, featuring time-series analysis.

Language: R - Size: 17.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

manuethomas/Credit-Default-Risk-Analysis-EDA

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sushant1827/LSTM_for_Household_Power_Consumption

This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.

Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sushant1827/Credit-Card-Fraud-Detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

luliatuccu/Education_Great_Equalizer

This project examines the relationship between education and income among Black and White Americans using American Community Survey data. It highlights racial disparities, with White Americans showing stronger correlations between higher education and income. Spatial analyses reveal significant income gaps and systemic barriers for Black Americans

Size: 11.4 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

iamansinha/Retrievability-PageRank-correlation

[FIRE 2023] A Comparative Analysis of Retrievability and PageRank Measures

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Iryna-Bo/Work-and-Mental-Health

A portfolio project that analyzes survey data from 5,000 employees around the world to investigate the impact of work-related factors on mental health and job satisfaction. It examines various variables and identifies trends and correlations. Using SQL, Python, Tableau, and Excel, the project demonstrates data analysis and visualization techniques.

Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SarveshDhond/Statistical_Analysis

This project is part of a graded assignment where I have showcased my Python and data analysis skills.

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Ashfinn/Diarrhea-Prediction-Model

This research project analyzes the relationship between environmental factors and diarrheal disease incidence across four major divisions in Bangladesh.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sanjurajveer/Breast_Cancer-Prediction

Breast cancer prediction using decision tree and random forest

Language: Python - Size: 90.8 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

JohnnySolo/Data-Analysis-Project---Spotify-Hit-Songs

That's my 1st year project in the course "Introduction to Statistics"

Size: 62.5 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

daniela1484/FinalProject_Multiple_Linear_Regression

This research project explores the correlation between lifestyle choices and sleep efficiency, with the goal of creating a predictive model for sleep efficiency based on individual lifestyle factors. The project will employ a regression model derived from the field of Mathematical Modeling.

Language: Python - Size: 488 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

edlansiaux/muinther

R package to compute Pearson correlation and mutual information theory outputs for multiple variables association study. Final outputs include a Pearson contingence heatmap, a theory information entropy outputs table and a theory information entropy heatmap.

Language: R - Size: 2.04 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

IsolatedSingularity/FRB-Tunneling

Scintillation and decorrelation statistics of fast radio bursts and black-white hole tunneling events in quantum cosmology.

Language: Python - Size: 70.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

minasso/NYC_Parking_Tickets

Analysis of NYC parking ticket data and NYC weather data to determine if weather conditions correlate with number of tickets given.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jacksonwalters/scotus-v-public

Capstone project for The Data Incubator ('18). Plots SCOTUS vs. public opinion polarity over time given keywords.

Language: Python - Size: 62.4 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 1

zrkhadija/Data-Analysis-for-Financial-Time-Series

In this notebook, we performed data analysis on financial time series data from Yahoo Finance for the US market. We examined seasonality, trends, stationarity, and other aspects such as outliers and correlations.

Language: Jupyter Notebook - Size: 473 KB - Last synced at: 7 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

zelosleone/FinnCorr

A .NET Core financial analysis tool/API for calculating correlations between time series data with interactive visualizations powered by ML.NET and Plotly.js.

Language: C# - Size: 19.5 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

deliprofesor/Cardiac-Data-Analysis-Exploring-Cholesterol-and-Heart-Rate

This project analyzes a heart disease dataset to explore the relationship between cholesterol, heart rate, and chest pain type. It includes normality tests, outlier detection, correlation analysis, MANOVA, post-hoc tests, and VIF analysis, with visualizations using histograms, heatmaps, and boxplots.

Language: Python - Size: 164 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

danschnurp/book-recommender

Simple book recommender application

Language: Python - Size: 9.77 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ranieri-unimi/spawn-em-all

Modelling spawnings on Pokémon Go 🪄 using multivariate statistical algorithms 🎰

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AdewoleK/Online-Sales-Performance

Analyze a detailed dataset on online sales transactions

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tedoaba/KAIM-W1

Predictive Analytics through Sentiment and Correlation Analysis

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ngangawairimu/Data-processing-with-Pandas-Music-Trends-on-Spotify.

This project analyzes Spotify’s top tracks dataset, exploring trends in musical features, artist popularity, genre distribution, and correlations between various song attributes.

Language: Jupyter Notebook - Size: 274 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Griffy321/Asset-analysis-web-app-development

This section documents my development of a web app that aims to make investment decisions easier.

Language: Python - Size: 16.6 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kibetbrian74/Comparative-Analysis-of-Mental-Health-Impact-by-Demographics

This project examines the impact of demographic factors on mental health within remote work settings, focusing on age, gender, job role, and work location (onsite, hybrid, remote). Through exploratory data analysis (EDA), it identifies trends, correlations, and demographic variations in mental health outcomes.

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jware-solutions/ggca

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

Language: Rust - Size: 11.6 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 10 - Forks: 2

AdewoleK/Credit-Card-Fraud-Prediction

Using both exploratory and machine learning techniques to identify key indicators of fraud and the regions that needed enhanced preventive measures.

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Nukaze/spotify-recommendations

Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

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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.

Language: Jupyter Notebook - Size: 67.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

II-STARLIGHT-II/medical-data-visualizer

This project visualizes medical data using Python. It creates a categorical plot to show distributions of health metrics and a heatmap to display correlations between medical factors like cholesterol, glucose, and BMI, analyzing their relationship with cardiovascular disease.

Language: Python - Size: 883 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AdewoleK/Community-Health-Evaluation-

This project is based on a synthesized dataset aimed at evaluating community health services and biomechanical measures.

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jungseungoh/project_safety_road

WCRC 2023 데이터 경진대회 데이터 분석 분야 | 범죄 불안도 기반 맞춤 안심로 안내 서비스

Language: Jupyter Notebook - Size: 8.66 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0