A spellchecker for statistics

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

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

Examining confidence intervals in abstracts

A collection of Stata scripts and dialog boxes

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

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

Case study from UDACITY Data Scientist Nanodegree

Develops a script in R to extract p-values from pdfs using XML format and performs analysis on a large text corpus.

utility notebooks

Philadelphia Real Estate Trends and Relationships with COVID-19

Statistics and R

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…

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

Methods for combining p-values.

Probability and Statistics for Machine Learning

This paper develops new methods to handle false positives in High-Throughput Screening experiments.