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Charles Jekel
Engineer. Regression. Optimization.
cj@jekel.me
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
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
Maximum Likelihood Estimation Linear Regression
Using maximum likelihood to fit a polynomial to data as opposed to a least squares fit
Gaussian Process Prediction (aka Kriging) with Different Correlation Functions
A simple one variable Kriging example utilizing scikit-learn to model a known function
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
World Population Density Plots
World population density calculated from the 2015 estimates provided by the CIA World Factbook with colorful plots
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
Open and View IM7 Files with Python
How to open and view LaVision DaVis IM7 files using the wrapper ReadIM and Python
Least Squares Sphere Fit
Fitting a sphere to data points using the least squares method
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