kylejcaron

Mentoring

case_studies

kylejcaron.github.io

Website

learning

nyc_playgrounds

aesara

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

ariepratama.github.io

Build a Jekyll blog in minutes, without touching the command line.

causal_inf_practice

Churn_case_study

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

data_resources

elements_of_programming

florida_man_challenge

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.

intro_statistical_learning

kaggle_bulldozer

Regression Case Study using kaggle's Farm Equipment Dataset

kylejcaron

lifelines

Survival analysis in Python

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.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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