aesara

Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

case_studies

causal_inf_practice

churn_case_study

data_resources

fraud_detection

Created a Fraud Detection machine learning model and implemented a prototype fraud dashboard for a user to investigate predicted attempts at fraud

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kaggle_bulldozer

Regression Case Study using kaggle's Farm Equipment Dataset

kylejcaron

kylejcaron.github.io

Website

learning

lifelines

Survival analysis in Python

mentoring

mixedmodel_hypothesis_testing

How to run A/B hypothesis tests with correlated observations

movie_recommender

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

nyc_playgrounds

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pymc-experimental

python-ab-testing-handbook

self_masters

text_summarization

timeseers

Time should be taken seer-iously

understat_scraper