Tutorial (including R code) for using Generalized Estimating Equations and Multilevel Models.

Christopher Wiggins | TMLS2019

We cover the theory of social networks with an introduction to graph theory, information spread and a deep dive into Python code examples

With around 97% accuracy

A Python tutorial for dealing with the biased sampling of spatial data with a realistic example from the environmental industry

How to use scatterplots, correlation coefficients, and linear regression effectively

A quick look at the different neural network architectures, their advantages and disadvantages.

Learn the principles for building maintainable Machine Learning pipelines using DVC

A deep dive into a new methodology for cluster recognition.

Implementing these can be simpler than you think

A thorough mathematical explanation of the Gini coefficient as well as a few non-standard applications: baby names and healthcare pricing