lawwu

Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

AWS-Certified-Machine-Learning-Study-Notes

2019 AWS Certified Machine Learning – Study Notes

aws-csaa-tips

Tips and hints for anyone trying to take AWS Certified Solutions Architect – Associate exam (2018). Great for review some days before the actual exam. Feel free to make a PR to improve the content. PDF version in https://tinyurl.com/aws-cssa-tips.

baseballr

A package written for R focused on baseball analysis. Currently in development.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

covid-19-map

US interactive map of Covid-19 outbreak

drill-sergeant-rstats

📗 A Little Book About Using Apache Drill and R

dvc-walkthrough

A walkthrough of essential DVC features (including tutorial text as well as a working environment).

example_cml

fastbook

Draft of the fastai book

ggstatsplot

Collection of functions to enhance ggplot2 plots with results from statistical tests.

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

instructor-training

The Carpentries (Software, Data, and Library Carpentry) instructor training course material

intake

Intake is a lightweight package for finding, investigating, loading and disseminating data.

keras

Deep Learning for humans

learning-apache-spark

Notes on Apache Spark (pyspark)

mattermost-heroku

Run mattermost on Heroku with an Nginx reverse proxy

metaflow

Build and manage real-life data science projects with ease.

MLDay18

Slides and material for "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day 2018

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

recipes

A preprocessing engine to generate design matrices

skope-rules

machine learning with logical rules in Python

snorkel-tutorials

A collection of tutorials for Snorkel

tidycensus

Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

tidyposterior

Bayesian comparisons of models using resampled statistics

vtreat

‘vtreat’ is an R data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.