p-value
There are 160 repositories under p-value topic.
aangelopoulos/ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Pegah-Ardehkhani/Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
puolival/multipy
Multiple hypothesis testing in Python
mateuszbuda/ml-stat-util
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
andreekeberg/abby
Minimal A/B Testing Library in PHP
kusterlab/curve_curator
Analysis platform for large-scale dose-dependent data
nirupamaprv/Analyze-AB-test-Results
E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
levist7/Credit_Risk_Modelling
Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python
BSEL-UC3M/pMoSS
pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets
VaibhavAbhimanyooHiwase/Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
nunofachada/pval_adjust
Adjust p-values for multiple comparisons
vaitybharati/Assignment-04-Simple-Linear-Regression-2
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
debbiemarkslab/GELMMnet
Generalized linear mixed model elastic net
kmedian/korr
collection of utility functions for correlation analysis
samirsaci/lss-kruskal-wallis
Lean Six Sigma with Python — Kruskal Wallis Test
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.
nanxstats/signify
Shiny Web Application for Making Your p-value Sound Significant
beery4010/Analyze-AB-Test-Results
Udacity Data Analyst Nanodegree - Project III
jmlcode/p2-ab-testing
Analysis of mock A/B Test Results by an e-commerce company. Application of probability, hypothesis testing, sampling distribution, two-sample z-test, and logistic regression to determining whether the company should implement the new web page it developed to increase users' conversion rate
ksatola/Analyze-A-B-Test-Results
Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
LastAncientOne/GDP_Project
GDP Forcasting
NourKamaly/AirlineTicketPricePrediction
First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities
vaitybharati/Assignment-05-Multiple-Linear-Regression-2
Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.
drbashar315/COVID_Infection_Rate_VS_Distance_From_Manhattan
Example of an end to end data analysis project starting from data acquisition to development of insights. Raw python is mostly used.
fsalhani/coin_tossing
Simple coin tossing simulation to show the issues with peeking at data during frequentist A/B tests
mthulin/boot.pval
Bootstrap p-values, including convenience functions for regression models.
omarmnfy/Power-Law-Fit-Distribution-MATLAB
This repository provides MATLAB implementations of plfit and plpva functions for fitting power-law distributions to empirical data using maximum likelihood estimation (MLE) and statistical goodness-of-fit tests. These tools accurately model complex systems with significant tail behaviors, common in fields like physics, biology, and economics.
RachelPengmkt/Analyzing-a-Simple-A-B-Test-with-a-T-Test
I will include two ways of t tests that compare conversion rate and click through rate of two groups
AlexiaNomena/Correspondence_Analysis_Free_Use
Correspondence Analysis with python
kaur-anupreet/boston-housing-price-prediction
Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.
RACHEL-LEIGH/Central-Limit-Theorem
Exploring CLT with Python
tantawy997/Analyze_ab_test_results_notebook
Analyze ab test results udacity project
vaitybharati/Assignment-04-Simple-Linear-Regression-1
Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.
kchu25/MotifPvalue.jl
Threshold and p-value computations for Position Weight Matrices
m-damien/Statslator.js
🔢 Conversion between statistical reporting styles