JD2112/ShinyOlink

A Shiny interface to analyse Olink data

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b-fatma/hypothesis-testing

A collection of projects focused on hypothesis testing.

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majianthu/pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

Language: Python - Size: 1.42 MB - Last synced at: 18 days ago - Pushed at: 11 months ago - Stars: 165 - Forks: 32

RubyNouriK/Customer-Response-Portuguese-Bank-Marketing-Campaigns

his University of Calgary DATA606 – Advanced Statistical Methods project examines a Portuguese bank’s telemarketing campaign, using statistical models to identify factors influencing term deposit subscriptions and provide recommendations to improve customer targeting and campaign effectiveness.

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LouaiMuhammed/breast-cancer-wisconsin-diagnostic

Exploratory data analysis and statistical "hypothesis" testing on the Breast Cancer Wisconsin (Diagnostic) dataset, focusing on feature understanding and normality assessment.

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YenLinWu/Daily_Work_of_Data_Science

資料科學的日常研究議題

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majianthu/copent

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

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TheDataDesk/ProductInsightEngine

To evaluate different implementations of an in-app currency feature with ABC Analysis

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Edanur-Y/Variable-Analysis-of-Banks-Ratio-Data

Testing variables for multicollinearity, multivariate normality and analyzing outliers and missing values. ⭕SPSS 🔵R

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kazilab/XeroGraph

XeroGraph is a Python package developed for researchers and data scientists to analyze, visualize and impute missing data in datasets.

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majianthu/mvnt

Code for the paper "Multivariate Normality Test with Copula Entropy"

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ram6ler/RMSE-Normality-Test

A formal normality test based on the RMSE associated with a QQ-plot from a sample.

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KasiMuthuveerappan/FintechCapstone-LoanDefaulters

📗 This repository contains the EDA of loan defaulters, analyzing factors like loan type, ROI, and credit scores. It utilizes Random Forest and XGBoost to clean discrepancies, providing insights to enhance risk assessment and inform lending strategies, making it ideal for financial analysts to mitigate loan default risks.

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shyammanikandan/Walmart_Business_Case_Study

Walmart Customer Purchase behaviour analysis

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gulabpatel/Statistics

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turkunov/pem-test

Goodness-Of-Fit test for normality based on elimination of parameters

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TommyNiemi/HYPOTHESIS_TESTING

I practiced hypothesis testing with Python.

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Hermann-web/some-common-statistical-methods

python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites

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AlexisBaladon/Polygonal-Evolutionary-Algorithm

Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.

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sdixit5/Analysis-of-Barack-Obama-s-Presidency

This Project compares the Effective Minimum Wage and Unemployment Rate statistically and Analytically at the start and end of former President Barack Obama's term.

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IsiashaG/MSDA_Portfolio

Portfolio while pursing my masters degree in data analytics

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PriyankaSett/statisticsproblems

This repository contains different statistical methods for Hypothesis testing.

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AustinPardosi/Tubes_Probstat

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jvirico/normality-tests-pvalues-boxcoxtransformations

Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.

Language: Python - Size: 1.91 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

tariqshaban/algorithm-comparator 📦

A set of statistical methods conducted on a strict set of algorithm's performance readings, utilizing Python

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MoinDalvs/Learn_Multi_Linear_Regression

Prediction of Miles per gallon (MPG) Using Cars Dataset

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pgplarosa/Understanding-song-characteristics-that-make-it-to-the-top

Applied Computational Statistics Final Project - September 16, 2021

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raj-shr-git/Statistical_testing_python

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

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Jimoh1993/Data-Science-Customer-Satisfaction-Project

Build a statistical model based customer satisfaction dataset from Qualtrics survey

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ali-unlu/Time-series-analysis-with-SARIMA

In this demonstration, we make a time series analysis based on a temperature data set.

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antuniooh/probability-and-statistics-database-analysis

Semester project for the subject of Probability and Statistics, a subject attended at Centro Universitário FEI. It consists of analyzing a database

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daksh-intwala/Naive-Bayes-Classifier_with_Normality_Tests

Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.

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