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automatic-ml-intro-tutorial-h2oai

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

caffe

Caffe: a fast open framework for deep learning.

case_study_01

Regression case study: predict the auction price of heavy equipment.

case_study_02

Classification case study: make the churn prediction based on Uber customer behavioral data.

cleveralgorithms

An open source book that describes a large number of algorithmic techniques from the the fields of Biologically Inspired Computation, Computational Intelligence and Metaheuristics in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.

dataanalysis

Coursera data analysis course, done in Python

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton http://www.databookuw.com/

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-residual-networks

Deep Residual Learning for Image Recognition

deepvelo

donor_lifetimes_non_profit

The object of this work is to quantify the factors in influencing donor retention for a non-profit. I stratified the data and applied a patient survival model to predict the lifetimes and the hazards that will surface at different points of a donor's life. Then I calculated the Customer Lifetime Value (CLV) for each donor based on predicted lifetime, cost, and donation history. This allows the non-profit to make donor retention decisions based on data and analytics, not on instincts.

employee-departure-prediction

fhir

FHIR Protocol Buffers

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

inspect_word2vec

Python code for checking out Google's pre-trained, 3M word Word2Vec model

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kaggle-blue-book-project

Kaggle Blue Book for Bulldozers Competition

kaggle-titanic

⚓ 🎯 Kaggle titanic dataset exploration

kaggletils

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-data

Data and code behind the stories and interactives at FiveThirtyEight

mca

Multiple correspondence analysis

mli-resources

H2O.ai Machine Learning Interpretability Resources

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

nli_test_bed

Natural Language Inference Testbed