GitHub topics: chi-square-test

Repositories

edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

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edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

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yug95/MachineLearning

Machine learning for beginner(Data Science enthusiast)

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JenithaLessie/AB-testing

A/B testing

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firoz-ahmad-likhon/probability-and-statistics-exercises

A collection of exercises and practice problems on probability and statistics using Python. Covers concepts like probability distributions, hypothesis testing, regression, and more.

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This repository contains statistical analyses conducted on various datasets related to medical and health factors. The analyses include Spearman correlation, Chi-square test, and Linear Regression to explore relationships and predictive models related to heart attacks and other medical conditions.

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josericodata/SyntheticDataGeneratorApp

Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.

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Tolumie/Aviva-Insurance-Statistics-Hypothesis-ABTesting-modelling

This project explores the impact of demographic and lifestyle factors on insurance charges. Using statistical hypothesis testing (ANOVA, Chi-Square, T-tests) and predictive modeling (Elastic Net, Random Forest, Gradient Boosting). The analysis is deployed using Streamlit.

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josericodata/StatisticsApp

Interactive statistics analysis app using Python and Streamlit. Perform key statistical tests, visualise distributions, and explore data with ease.

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BPBowers/Math447

Book Cipher Validity Signature Producer alongside Homework and from Salisbury University's Cryptography Course Math447

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mahnoorsheikh16/Optimizing-Supply-Chain-Efficiency-with-Geospatial-Data Fork of andrew-jxhn/STT810_StatsProject

Leveraged historical geospatial data to forecast weather patterns, optimize delivery times and methods to improve efficiency and reduce costs.

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PatilNi3/TABLES-IN-STATISTICS

In Statistics, various tables used to reference critical values for different distributions and tests.

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lmizner/codecademy_farmburg_AB_testing

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lmizner/codecademy_fetchmaker

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lmizner/codecademy_heart_disease

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sdeepak09/MTH_516_Non_parametric_Inference_IITK

This repository contains Materials for Non-Parametric Inference

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ay0408/DP-statistics-GWAS

More practical differentially private publication of key statistics in GWAS

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josericodata/MScDataAnalyticsFirstSemesterAssignmentTwo

Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

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briggyx/bank_marketing_analysis

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vaishali071017/Yulu-Hypothesis-Testing

Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study

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nikitaprasad21/360-Video-Feature-A-B-Test-Analysis-Project

Evaluating the impact of adding 360-degree product videos feature on the product page on sales for an E-Commerce Platform.

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28101991SUNNY/BusinessCase_Data_Exploration-

Case Studies and Projects in Machine Learning/EDA/DL

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dnguyennk/Which-Debts-Are-Worth-the-Bank-s-Effort

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

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fatimagulomova/iu-lessons

IU Lessons

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FrancescoFarinola/Anemia_Estimation

Bachelor's Thesis : Estimation of Anemia from nailbed, conjunctiva and fingertip images with an Ensemble Model and aggregating with the Borda Count Method. Deployment with standalone PyQT interface and Flask WebApp

Language: Python - Size: 12.1 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

spacebakery/Analyze-Data-with-Python-Portfolio-Project

Analyze Data with Python

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spacebakery/Familiar.A-Study-In-Data-Analysis-Project

Analyze Data with Python | Hypothesis Testing with Scipy

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sohao0819/call_center_regression_analysis

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sohao0819/ab_testing

A collection of ab testing case studies and methodologies

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Tearwork/Biodiversity_US_NationalParks

Biodiversity across US National Parks: an overview

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LinaYorda/Chi-Square-Test-on-university-website

chi-square test within the Montana Library case study.

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jeanbaptisteb/ACT

analysis of contingency tables and their residuals, with a bootstrap correction for multiple testing

Language: Python - Size: 47.9 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

nrsharip/test-statistics

Examples of using the test statistics to test hypotheses

Language: Python - Size: 104 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Gkontopodis/Data-Analysis-Tools

Wesleyan University

Language: Python - Size: 604 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 3

KhushiiAgarwal/DeepLearning

DL projects done in Python

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Ishikaaa/ML-Classification-of-Nepal-earthquake-tweets

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HangX-Ma/kalman-filter

Header-only kalman filter implementation based on Eigen3 with chi-square test.

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samirsaci/lss-chi-squared

Lean Six Sigma with Python — Chi-Squared Test

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HajarOuagar/Educational-Dynamics

A Project on Hypothesis Testing, Graph Plotting, and Regression Analysis in Higher Education.

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AmberFeltner/ExploratoryDataAnalysis-Python

Exploratory Data Analysis

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sunoh-kim/statistical-data-analysis

This repository contains my assignment solutions for the Statistical Data Analysis.

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Praveen76/Statistics-Interview-Preparation-Guide

Explore the Statistics Interview Preparation Guide! This GitHub repository offers a curated collection of interview questions and answers tailored for Data Scientists. Elevate your statistical knowledge, confidently navigate technical interviews, and prepare for success in the dynamic field of data science with a focus on statistical applications.

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Prem-98/Hypothesis-tesing

hypothesis-testing

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seandhan/Insurance-Business-Statistics

Statistical Analysis of Insurance premium data

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neuhofmo/chisq_test_wrapper

A friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.

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DeboraOliver/Chi-square

Pearson's Chi-Square Test of Independence for NYHA and KCCQ

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nissim-panchpor/Statistical-Analysis-on-Safety-of-Students-in-and-around-UW-Campus

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ashishyadav24092000/ALL-Hypothesis-testing

Hypothesis testing using T-test,ANOVA,chi-square test.

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vaitybharati/P21.-Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers-

Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.

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vaitybharati/Chi-Square-test

Chi-Square-test

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johnbrendanowens/Statistical-Testing

This a project I did in the Spring of 2017 for the graduate course of Statistical Computing. This project includes T-Tests, Non-parametric Tests, Linear Regressions, Correlation Tests, Chi Square Tests, and tests for normality. This project also includes some basic graphing.

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johnbrendanowens/Chi-Square-Tests-Confidence-Intervals-Kolmogorov-Smirnov-Tests-and-Shapiro-Wilk-Normality-Tests

This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".

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c-susan/datasci_5_statistics

HHA507 / Data Science / Assignment 5 / Inferential Statistics

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rebeccak1/pricing-test

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vrinda1997/Local-Frog-Discovery-Tool

The project aims to build a Species Distribution Model for the frog species - "Litoria Fallax" across Australia using TerraClimate variables.

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bhattbhavesh91/chi-squared-feature-selection-selectkbest

Chi-Squared For Feature Selection using SelectKBest

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pleonova/stat-tests

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

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JonasVasconcelos/FiShiny

Shiny interface for growth model fit

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dartwinshu/dibimbing-python-for-data-analysis

Course of business intelligence bootcamp by Dibimbing

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MartaPelizzola/ACER

Adapted chi-squared and CMH test to evolve and resequenced data. Includes drift and pool sequencing variance in the tests

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YuriPaglierani/Data-Analysis-Fortran

A basic program for data analysis of 1 parameter, it can be extended and optimized. Program done collaborating with Alessandro Namar

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vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

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Palakpatel31/People_Analytics

People Analytics Project on Factors affecting Employees Performance during Covid-19

Size: 3.63 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gpavanb1/Dice-Checker

ReactJS app to check dice for board games using statistics

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Rao-Sanjayy/Inferential-Statistics-Using-R

The repository covers some of the key concepts of Inferential Statistics with the help of R.

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SS-based-Stats/supplement

Privacy-Preserving Publication of GWAS Statistics using Smooth Sensitivity

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OhmRajpal/FinalProject

Stats HW helper that solves chi-square problems involving goodness of fit, homogeneity, or independence

Language: Java - Size: 169 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

Joshuaabeter/Restaurant_Quality_Assessment_Analysis_and_Prediction

Eateries quality assessment analysis and prediction with Sklearn. It involved analyzing eateries' quality assessment dataset and predicting the quality assessment result

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apoorvadudani/Analyzing-Data-from-a-Prepared-Meal-Delivery-Company

I use R to statistically analyze survey data collected from 500 customers of a local prepared meal delivery service

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JRigh/Chi-square-test-of-independence

Chi-squared test of independence (R)

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arjunthumbayil/Fundamental_Statistics_For_Beginners_In_Data_Science

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mohamedhassan279/Chi-Square-test

Practicing Chi-Square Distribution in analytics.

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adityamkk/statistic-tester

Tester for basic statistical tests

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28101991SUNNY/Statistics_study

about statistical techniques for Data Science

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schatzederwelt/toxic_comments_detection

Автоматическое выявление токсичных комментариев

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jessicaageorge5/radiation_oncology_analysis

[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.

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kedarghule/Statistical-Analysis-of-Insurance-Claims

This project explores the data of medical insurance claims. Descriptive Analysis, Exploratory data analysis, Univariate, Bivariate and multivariate analysis is performed to explore the data and how different features are correlated to each other. Finally, hypothesis testing is performed by employing t-test, Chi-squared test and One-way ANOVA.

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kellyav/machinelearningfinal

Final project progress will be posted here.

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SujalXplores/Mega-Calculator

All type of calculators like Cuboid (4D), Binning, Chi-square test, Red-black tree, Binary search tree, Longest Common Sub Sequence, Master Theorm, Heap Sort, Decision Theory at one place ✨

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DeepKariaX/R-Projects

Some R Projects - (Chi Square, K-Means, Sentiment Analysis, Simple Regression, T-Test)

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ariff118/chi-square-notes

class lecture slides on chi-square test of independence

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Jimoh1993/UM6P-SCI-Data-Science-Lab-Project-Data-Distribution-Stat-Tests

Data distribution is a function that lists out all possible values the Data can take. It can be a continuous or discrete Data distribution. Several known standard Probability Distribution functions provide probabilities of occurrence of different possible outcomes in an experiment.

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