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

A spellchecker for statistics

This package provides functions to create descriptive statistics tables for continuous and categorical variables.

Scikit-Learn's linear regression extended with p-values.

Examining confidence intervals in abstracts

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

Case study from UDACITY Data Scientist Nanodegree

A collection of Stata scripts and dialog boxes

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

Empirical Bayes factors for objective statistical evidence

Experiments with fastai

Methods for combining p-values.

p-value calculators written for STAT 200 at UIUC

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…

Identifying and avoiding common misinterpretations in using statistics

Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.

This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.

If protein sequence NR2F6 is very similar between humans and mice, then mice that have SNP rs11856995 might show photic sneeze reflex (PSR) phenotype.

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 Mod…