Russ Nelson, PhD's repositories
AdvMLCourse
Course repo for Advanced Machine Learning Course at Linköping University
lifestream
The fastest way to make sense of a transaction log.
BTYDplus
R package for Customer Behavior Analysis
DLMtool
DLMtool: management strategy evalaution and implementation of data-limited fishery stock assessment methods
emk-talks
Talk/slide template (based on Nick Tierney's https://github.com/njtierney/njt-talks)
prob-stats
Probability and Statistics: a simulation-based introduction. An open-access book.
retentioneering-tools
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.
SMCRM
Statistical analysis in R by SAS examples in the book by Kumar V. and Petersen Andrew J.
BradleyTerryScalable
R package for fitting the Bradley-Terry model to large datasets
scarab_migration
scripts and data associated w/ Linck & Sheldon in prep.
Telecommunications-Customer-Attrition-Dashboard
A dynamic dashboard for a telecommunications company to analyze customer attrition rates according to demographic filters.
EliminationFeasibility
Code repository for manuscript on model-free estimation of the elimination feasibility of schistosomiasis
Customer-Relationship-Management
This is the code for CRM, I will remember this course for at least 10 years...... You need to suffer before you learn.
phd-game
A random event driven text-based game engine.
ad_response_tutorial
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.
Missing-data-in-EHR
Missing data/longitudinal data analysis/Latent class analysis/Bayesian Methods
svm-r-markdown-templates
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
coursera-startup
Startup Engineering. Lecture Slides (june 2013)
fadermodels
MKTG 476 Models