Joe Kearney's Projects
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Minimal examples of data structures and algorithms in Python
A collection of algorithms
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Python package for Imputation Methods
Get to know Autoimpute:
:sunglasses: Curated list of awesome lists
:beers: awesome cheatsheet
A curated list of awesome Python frameworks, libraries, software and resources
A collection of Bayesian data analysis recipes using PyMC3
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Parsing JSON from cryptocompare api and storing in flat files (csv)
Data and code behind the articles and graphics at FiveThirtyEight
Samples for users of the Yelp Academic Dataset
A Machine Learning System for Data Enrichment.
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Data imputations library to preprocess datasets with missing data
Low level, multiprocessing based AWS Kinesis producer & consumer library
Serverless Reference Architecture for creating a Web Application
fun with markov chains to generate yelp reviews based on the yelp dataset
Missing Data Imputation Python Library
Simple setup for node.js applications
Machine learning, in numpy
An R package containing a markdown template for preparing the UChicago Graham School Master of Science in Analytics Capstone Project.
All Algorithms implemented in Python
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
Collection of less popular features and tricks for the Python programming language