A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

• UpdatedSep 5, 2025
• Python

A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python

• UpdatedMar 14, 2025
• Jupyter Notebook

Multiple hypothesis testing in Python

• UpdatedAug 8, 2024
• Python

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

• UpdatedMar 8, 2022
• Jupyter Notebook

Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python

• UpdatedMar 15, 2023
• Jupyter Notebook

Minimal A/B Testing Library in PHP

• UpdatedJul 26, 2020
• PHP

Analysis platform for large-scale dose-dependent data

• UpdatedOct 4, 2025
• Python

E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing

• UpdatedDec 21, 2017
• HTML

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

• UpdatedMar 12, 2024
• Python

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

• UpdatedJul 25, 2018
• Python

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.

• UpdatedMay 30, 2021
• Jupyter Notebook

Adjust p-values for multiple comparisons

• UpdatedAug 27, 2019
• MATLAB

Lean Six Sigma with Python — Kruskal Wallis Test

• UpdatedOct 19, 2024
• Jupyter Notebook

Bootstrap p-values, including convenience functions for regression models.

• UpdatedApr 16, 2025
• R

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

• UpdatedAug 20, 2021
• Python

collection of utility functions for correlation analysis

• UpdatedJun 19, 2022
• Python

Generalized linear mixed model elastic net

• UpdatedAug 9, 2017
• Jupyter Notebook

Shiny Web Application for Making Your p-value Sound Significant

• UpdatedFeb 10, 2021
• R

GDP Forcasting

• UpdatedNov 20, 2021

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

• UpdatedOct 20, 2022
• Jupyter Notebook