Gilles Pilon's Projects
The purpose of this repository is to illustrate a one-factor analysis of variance (one-way ANOVA). In addition there are statistical and graphical analyses.
This analysis uses graphical, statistical, and regression methods.
The purpose of these scripts is to illustrate various graphs created with matplotlib.
The script reads a single-column file and calculates basic statistics. It progresses from quick-and-dirty code to pretty.
Python scripts demonstrating bootstrap (resampling) techniques.
Scatter plot of cholera deaths and pump locations in Soho, London, English in 1854. The analysis is two scatter plots in the same graph.
comics in the style of xkcd
The purpose of this repository is to illustrate how to read and write CSV files with pandas.
A Python library for data scientists, machine learning engineers, and statisticians. Statistical and graphical functions for making sense of data to create information and understanding.
Tools for machine learning, automation, statistics, graphics.
This repository contains scripts for deep learning.
A repository to analyze various dependent and independent variables related to dog breeding.
The purpose of this repository is to illustrate the many methods to estimate sample quantiles.
A one-sample t test is shown using hypothesis testing and confidence intervals.
A paired-sample t test is shown using hypothesis testing and confidence intervals.
A two-sample t test is shown using hypothesis testing and confidence intervals.
Enhanced output for hypothesis tests
It is a grid or matrix to help in deciding which things to work on. It focuses on the impact of doing something v. the effort required.
SQL joins in Python
This analysis is line plots for key performance indicators (KPIs).
LaTeX templates for articles, books, letters, reports.
Supervised machine learning pipelines using scikit-learn.
The purpose of this repository is to show how to perform a measurement system analysis using control charts and Dr. Donald J. Wheeler's EMP method.