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jm's Projects

aws-okta icon aws-okta

aws-vault like tool for Okta authentication

bayesianmmm icon bayesianmmm

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

bounded_cumsum icon bounded_cumsum

Function that takes a numeric vector and applies a cumulative sum with upper and/or lower bounds.

brms icon brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

causalml icon causalml

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

dotfiles1 icon dotfiles1

🍎 macOS dotfiles for Python developers.

lmest icon lmest

:exclamation: This is a read-only mirror of the CRAN R package repository. LMest — Latent Markov Models with and without Covariates

oreilly-intro-to-predictive-clv icon 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

robyn icon 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.

statistics-201 icon 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 icon tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

testandroll icon testandroll

Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.

videos icon videos

Code for the manim-generated scenes used in 3blue1brown videos

zero.sh icon zero.sh

Radically simple personal bootstrapping tool for macOS.

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