p-value
There are 1 repository under p-value topic.
aangelopoulos / ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Language:Python 264Pegah-Ardehkhani / Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
hypothesis-testingprobabilityprobability-theorypythonrandom-variablesstatiscal-learningstatisticsstatistical-hypothesis-testingparametric-hypothesis-testsconfidence-intervalscontinuous-distributionsdiscrete-distributionsinferential-statisticspython-statisticsscipystatistics-for-data-sciencestatistics-using-pythonp-valuematplotlibregressionLanguage:Jupyter Notebook 148- Language:Python 111
mateuszbuda / ml-stat-util
Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers
Language:Jupyter Notebook 49levist7 / Credit_Risk_Modelling
Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python
Language:Jupyter Notebook 46- abby
andreekeberg / abby
Minimal A/B Testing Library in PHP
Language:PHP 32 kusterlab / curve_curator
Analysis platform for large-scale dose-dependent data
Language:Python 25nirupamaprv / Analyze-AB-test-Results
E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
Language:HTML 23BSEL-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
Language:Python 16VaibhavAbhimanyooHiwase / 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.
life-insurancedata-sciencedata-mining-algorithmsbackward-eliminationmultiple-linear-regressionstatisticsstatistical-analysisstatistical-learningstatistical-modelsstatistical-datarisk-analysisrisk-calculationsrisk-modellingrisk-modelsrisk-assessmentinsurancep-valuealpha-valuerandom-forestkaggle-life-insuranceLanguage:Python 12vaitybharati / 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.
Language:Jupyter Notebook 10nunofachada / pval_adjust
Adjust p-values for multiple comparisons
Language:MATLAB 9samirsaci / lss-kruskal-wallis
Lean Six Sigma with Python — Kruskal Wallis Test
Language:Jupyter Notebook 9- Language:R 8
- Language:Jupyter Notebook 7
- normality-tests-pvalues-boxcoxtransformations
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 7 - Language:Python 7
- Language:R 7
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
Language:HTML 6beery4010 / Analyze-AB-Test-Results
Udacity Data Analyst Nanodegree - Project III
Language:HTML 5ksatola / 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
Language:Jupyter Notebook 5LastAncientOne / 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
Language:Jupyter Notebook 5OliverHennhoefer / online-fdr
Online Multiple Hypothesis Testing
Language:Python 5Assignment-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.
Language:Jupyter Notebook 5drbashar315 / 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.
Language:Jupyter Notebook 4fsalhani / coin_tossing
Simple coin tossing simulation to show the issues with peeking at data during frequentist A/B tests
Language:Jupyter Notebook 4m-damien / Statslator.js
🔢 Conversion between statistical reporting styles
Language:TypeScript 4omarmnfy / 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.
Language:MATLAB 4RachelPengmkt / 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
Language:Jupyter Notebook 4- Language:Jupyter Notebook 4
AlexiaNomena / Correspondence_Analysis_Free_Use
Correspondence Analysis with python
correspondence-analysiscontingency-tablefactor-analysischi-square-statisticsp-valuepythonpandasseabornreciprocal-averagingmarkov-chain-data-analysismultivariate-analysismultivariate-statisticsdata-analysisdata-analysis-pythondata-visualisationstatistical-techniquetext-analysisegyptologygrammar-analysisfree-softwareLanguage:Python 3kchu25 / MotifPvalue.jl
Threshold and p-value computations for Position Weight Matrices
Language:Julia 3RACHEL-LEIGH / Central-Limit-Theorem
Exploring CLT with Python
Language:Jupyter Notebook 3tantawy997 / Analyze_ab_test_results_notebook
Analyze ab test results udacity project
Language:Jupyter Notebook 3Assignment-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.
Language:Jupyter Notebook 3
