Charles Jekel - jekel.me

Mar 18, 2017
Lack of Fit Test for Linear Regression
A lack of fit test is performed for simple linear regression model to see if the use of a linear model is appropriate for the given data set
Dec 19, 2016
Automating Tinder Likes with Support Vector Machine Learning
I recorded over 8,000 Tinder likes/dislikes so that I could use machine learning to predict whether I would like or dislike a new Tinder profile
Oct 21, 2016
Maximum Likelihood Estimation is Sensitive to Starting Points
Quick comparison of maximum likelihood estimation vs root mean square error for linear regression from random tarting points
Oct 15, 2016
Maximum Likelihood Estimation Linear Regression
Using maximum likelihood to fit a polynomial to data as opposed to a least squares fit
Sep 15, 2016
Gaussian Process Prediction (aka Kriging) with Different Correlation Functions
A simple one variable Kriging example utilizing scikit-learn to model a known function
May 31, 2016
USA GDP and GNI per capita adjusted for inflation 1960 - 2014
Plots were created of the USA's GDP per capita and GNI per capita from 1960 to 2014 adjusted for inflation using the CPI
Apr 06, 2016
World Population Density Plots
World population density calculated from the 2015 estimates provided by the CIA World Factbook with colorful plots
Oct 05, 2015
Python Twitter Bot Using Google Cloud Shell
A twitter bot, written in Python, that tweets when the Eskom load shedding stage changes implemented in Google Cloud Shell
Sep 18, 2015
Open and View IM7 Files with Python
How to open and view LaVision DaVis IM7 files using the wrapper ReadIM and Python
Sep 13, 2015
Least Squares Sphere Fit
Fitting a sphere to data points using the least squares method