jm's repositories
aws.ec2metadata
Access to EC2 Instance Metadata
aws.signature
Amazon Web Services Request Signatures
BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
bounded_cumsum
Function that takes a numeric vector and applies a cumulative sum with upper and/or lower bounds.
causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
dotfiles
Get started with your own dotfiles.
dotfiles1
🍎 macOS dotfiles for Python developers.
oreilly-intro-to-predictive-clv
Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017
pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
python-slackclient
Slack Python SDK
Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
robyn_api_meta_hackathon
Meta APAC Robyn Hackathon 2022
sample-namespace-packages
Tests against namespace packages
statistics-201
Shiny app to perform statistical inference on mean(s), proportion(s) and variance(s). See https://antoinesoetewey.shinyapps.io/statistics-201/
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
testandroll
Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
zero.sh
Radically simple personal bootstrapping tool for macOS.