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 165Pegah-Ardehkhani / Statistics-and-Probability-in-Python
Explore "Statistics" and "Probability Theory" Concepts and Their 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 119- Language:Python 99
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 48- abby
andreekeberg / abby
Minimal A/B Testing Library in PHP
Language:PHP 30 nirupamaprv / 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 16kusterlab / curve_curator
Analysis platform for large-scale dose-dependent data
Language:Python 12VaibhavAbhimanyooHiwase / 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 11vaitybharati / 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 9nunofachada / pval_adjust
Adjust p-values for multiple comparisons
Language:MATLAB 7- Language:Python 6
- Language:R 6
samirsaci / lss-kruskal-wallis
Lean Six Sigma with Python — Kruskal Wallis Test
Language:Jupyter Notebook 6Abhishek20182 / Analyze-AB-Test-Results
Udacity Data Analyst Nanodegree - Project III
Language:HTML 5jmlcode / 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 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 4- 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 4 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
Language:Jupyter Notebook 4LastAncientOne / 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 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 4AlexiaNomena / 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 3- Language:Jupyter Notebook 3
RACHEL-LEIGH / Central-Limit-Theorem
Exploring CLT with Python
Language:Jupyter Notebook 3- Language:Jupyter Notebook 3
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.
Language:Jupyter Notebook 3Assignment-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 3christophersingh / Car-CNN-Capstone
A Convolutional Neural Network Implementation To Classify The Vacancy Of A Parking Spot Using Transfer Learning Methodologies
Language:Jupyter Notebook 2kaur-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.
Language:Jupyter Notebook 2kchu25 / MotifPvalue.jl
Threshold and p-value computations for Position Weight Matrices
Language:Julia 2- Language:R 2
odeibarredo / Statistics_Group-Comparisons
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
Language:R 2tantawy997 / Analyze_ab_test_results_notebook
Analyze ab test results udacity project
Language:Jupyter Notebook 2Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Language:Jupyter Notebook 2
