Projects in Awesome Lists tagged with anova-test

https://github.com/rohitsanj/doex

Python library for Design and Analysis of Experiments

anova anova-test binder design-of-experiments factors latin-square one-way-anova probability probability-distribution python-library statistical-analysis statistics-library two-way-anova

Last synced: 10 Aug 2025

https://github.com/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).

alzheimer-disease-prediction anova-test catboost-classifier chi-square-test data-science deep-neural-networks keras-neural-networks lightgbm-classifier logistic-regression machine-learning multi-layer-perceptron-classifier neural-networks random-forest-classifier tensorflow xgboost-classifier

Last synced: 11 Apr 2025

https://github.com/dataspieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

anova-analysis anova-test beautifulsoup lasso-regression machine-learning-algorithms matplotlib matplotlib-pyplot monte-carlo-methods nltk-python numpy-library pandas-library polynomial-regression randomforestclassifier randomforestregressor ridge-regression scikitlearn-machine-learning scipy sckit-learn seaborn t-distribution

Last synced: 10 Jun 2025

https://github.com/moindalvs/assignment_hypothesis_test

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions.

2sample-2tail anova-test chisquare chisquare-test contingency-table hypothesis hypothesis-testing numpy numpy-arrays pandas scipy-stats testofindependence

Last synced: 20 Oct 2025

https://github.com/akashash01/akash_linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning

Last synced: 07 May 2026

https://github.com/bhparijat/hypothesis-testing-for-linear-models

Contains R scripts from ST 552

anova-test hypothesis-testing lasso linear-regression r ridge-regression

Last synced: 16 Nov 2025

https://github.com/vergosss/decision_theory_2023_2024_project

anova-test imblearn knn matplotlib naive-bayes-classifier numpy pandas scikit-learn scipy sklearn svm t-test

Last synced: 02 Apr 2026

https://github.com/quantum-software-development/bovespa-banks-value-analysis

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

anova-test art-direction artificial-intelligence data-science design python3 sound-design sounds-remix statics-measures statistical-analysis statistics video-creator

Last synced: 15 Feb 2026

https://github.com/moindalvs/hypothesis_test_4

TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the manager draw appropriate inferences

anova-test f-statistics hypothesis-testing

Last synced: 18 Apr 2026

https://github.com/moindalvs/hypothesis_testing_2

A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.

anova anova-test fstatistics hypothesis-test hypothesis-testing matplotlib-pyplot numpy-library pandas-library scipy-stats seaborn-plots

Last synced: 27 Oct 2025

https://github.com/saeun-park/data-analysis

데이터 분석 프로젝트 및 공모전

anova-test data-analysis data-visualization statistics

Last synced: 21 Jan 2026

https://github.com/moindalvs/learn_hypothesis_testing_for_data_science

Hypothesis for Data Science

anova-test chi2 chi2-contingency goodness-of-fit independent-sample-t-test one-sample-t-test paired-sample-t-test proportion-test testofindependence two-sample-t-test

Last synced: 19 Apr 2026

https://github.com/manjit-baishya-datascience/nyc-taxir-fair-prediction

This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.

anova-test decision-tree-regression gradient-boosting-regressor machine-learning random-forest-regression t-test xgboost-regression

Last synced: 29 May 2026

https://github.com/sayed-ashfaq/yulu-hypothesistesting

In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.

anova-test chisquare-test hypothesis-testing pandas-dataframe python scipy-stats seaborn ttest

Last synced: 17 Apr 2026

https://github.com/spacebakery/fetchmaker-project

Analyze Data with Python | Hypothesis Testing with Scipy

anova-test binom-test chi-squared-test hypothesis-testing scipy tukey-test

Last synced: 11 Mar 2025

https://github.com/hords01/health_program_for_cholesterol_statistics_tests

Scipy Tests

anova-test cholesterol cholesterol-analysis graphics matplotlib scipy seaborn statistical-analysis statistical-tests

Last synced: 18 Apr 2026

https://github.com/jabulente/tukeys-honest-significant-difference

This project explores Tukey’s Honest Significant Difference test as a robust statistical method for comparing group means after conducting ANOVA. In real-world data analysis, we often need to determine not just whether groups are different, but which specific groups differ

ai anova-test exploratory-data-analysis ml post-hoc-analysis python scipy statsmodels tukey-hsd

Last synced: 08 May 2026

https://github.com/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.

anova-test cct-college chi-square-test confidence-intervals cross-validation-grid-search data-preparation-and-visualisation decision-tree-classifier dublin hypothesis-tests ireland k-nearest-neighbors kruskal-wallis machine-learning-for-data-analysis programing-for-data-analysis python random-forest-classifier statistics-for-data-science transport-europe transport-ireland u-mann-whitney

Last synced: 16 May 2026

https://github.com/rebeccamorolong/mtn-customer-churn-prdiction

This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.

anova-test matplotlib-pyplot numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/quocduyenanhnguyen/anova-of-baseball-league-team-individual-project

In this project, I wrote R codes to conduct ANOVA test to test for any differences in the mean attendance and among the mean attendance of the three divisions for the 14 baseball teams so that the management team can rearrange 14 teams into different divisions to improve attendance rate.

anova-test baseball-league-dataset r rstudio

Last synced: 25 Oct 2025

https://github.com/cyberoctane29/diamonds-anova-analysis

This project uses ANOVA in Python to analyze how diamond color and cut affect pricing. By testing for statistical significance and running post hoc comparisons, it reveals key pricing patterns. Built with pandas, statsmodels, and Seaborn, the findings help inform diamond valuation and purchasing decisions.

anova-test data-analysis data-analytics data-science diamonds-dataset regression-analysis statistical-analysis tukey-hsd

Last synced: 10 Oct 2025

https://github.com/johannaschmidle/house-price-predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

anova-test cross-validation house-price-prediction machine-learning onehot-encoding ordinal-encoding python random-forest random-forest-regressors sklearn sklearn-library target-encoding visualization xgboost xgboost-model