Pinned Repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
algorithms
Minimal examples of data structures and algorithms in Python
Algorithms-1
A collection of algorithms
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
autoimpute
Python package for Imputation Methods
autoimpute-tutorials
Get to know Autoimpute:
awesome
:sunglasses: Curated list of awesome lists
awesome-cheatsheet
:beers: awesome cheatsheet
hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
PyTricks
Collection of less popular features and tricks for the Python programming language
kearnz's Repositories
kearnz/autoimpute
Python package for Imputation Methods
kearnz/hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
kearnz/PyTricks
Collection of less popular features and tricks for the Python programming language
kearnz/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
kearnz/Algorithms-1
A collection of algorithms
kearnz/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
kearnz/autoimpute-tutorials
Get to know Autoimpute:
kearnz/awesome-cheatsheet
:beers: awesome cheatsheet
kearnz/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
kearnz/cd4ml-workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
kearnz/data
Data and code behind the articles and graphics at FiveThirtyEight
kearnz/dataset-examples
Samples for users of the Yelp Academic Dataset
kearnz/global-grooves
kearnz/holoclean
A Machine Learning System for Data Enrichment.
kearnz/impyute
Data imputations library to preprocess datasets with missing data
kearnz/kearnz
kearnz/kearnz.github.io
kearnz/kinesis-python
Low level, multiprocessing based AWS Kinesis producer & consumer library
kearnz/lambda-refarch-webapp
Serverless Reference Architecture for creating a Web Application
kearnz/MDI
Missing Data Imputation Python Library
kearnz/numpy-ml
Machine learning, in numpy
kearnz/phoenixdown
An R package containing a markdown template for preparing the UChicago Graham School Master of Science in Analytics Capstone Project.
kearnz/Python
All Algorithms implemented in Python
kearnz/python-mysql-replication
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
kearnz/react-dropzone
Simple HTML5 drag-drop zone with React.js.
kearnz/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
kearnz/samplealgo01
Sample algo
kearnz/swcarpentry
A meta-repository to help navigate the many lessons and repos of the Software Carpentry Community
kearnz/uoc-analysis
Just a coupla observations
kearnz/wallstreet
Real time stock and option data.