mrmaher Goto Github PK

actionable-recourse

evaluate recourse in linear classification models

agile_data_code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

azure-xplat-cli

Microsoft Azure Cross Platform Command Line

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

clustering

helper files and demo for modified canopy clustering

coffee-site

crossfilter

Fast n-dimensional filtering and grouping of records.

forex-plots

Using Quandl and ggplot2 to analyze foreign exchange data over time

introduction_to_meta_kaggle

This is the github repository for the Introduction to Meta-Kaggle and human-AI teams workshop at ODSC East 2019

kagglencaa

Simulate the NCAA tournament based on a kaggle-format bracket (with predictions for every possible matchup)

keras-workshop

Data and scripts for keras course

learningr

Code to get started with a new RStudio project along with data

ml-class

Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras

newsharvest

Package for collecting headlines, article content, and corresponding data from Associated Press, Reuters, and Bloomberg

odsc_east_2018_keras_cv

prediction2016

Predictions for the 2016 ASA Election Prediction Contest

pygooglesearch

Package for collecting and aggregating search results from various Google Sources

reticulate

R Interface to Python

sdsc_dsds_cv101

spacy-tutorial

tf2_keras

Repository for the talk: Tensorflow 2.0 and Keras: what's new, what's shared, what's different

track110m

Quick bit of code to analyze 2016 mens 110 meter hurdle track data prior to the Rio 2016 Olympics