suzbert

suzbert's Stars

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python37k964666.6k

• numpy/numpy

  The fundamental package for scientific computing with Python.

  Language:Python29.2k59613.2k10.6k

• realpython/python-guide

  Python best practices guidebook, written for humans.

  Language:Batchfile28.8k1.4k2705.9k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.3k783412.4k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  16k796123.8k

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.2k1k213.4k

• instillai/machine-learning-course

  :speech_balloon: Machine Learning Course with Python:

  Language:Python7k30441.3k

• googlecreativelab/quickdraw-dataset

  Documentation on how to access and use the Quick, Draw! Dataset.

  6.3k20756974

• python/peps

  Python Enhancement Proposals

  Language:reStructuredText4.6k2704361.6k

• yasoob/intermediatePython

  Language:Python3.9k16650708

• jrfiedler/causal_inference_python_code

  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

  Language:Jupyter Notebook1.3k522392

• kuzmoyev/google-calendar-simple-api

  Pythonic wrapper for the Google Calendar API

  Language:Python638711646

• electronut/pp

  Code for book Python Playground by Mahesh Venkitachalam (No Starch Press, USA)

  Language:Python5793326500

• random-forests/tutorials

  Language:Jupyter Notebook5283812908

• rstats-wtf/what-they-forgot

  "What They Forgot to Teach You About R" website / eBook

  Language:R427215581

• jennybc/code-smells-and-feels

  Talk on code smells and feels and how to change that via refactoring

  Language:R2307120

• AntonioErdeljac/python-tensorflow-google

  Notes taken from Google Machine Learning Course provided to public for practice & correction.

  Language:Python19910030

• Rambatino/CHAID

  A python implementation of the common CHAID algorithm

  Language:Python156145553

• OHDSI/WebAPI

  OHDSI WebAPI contains all OHDSI services that can be called from OHDSI applications

  Language:Java136441.1k171

• OHDSI/TheBookOfOhdsi

  The Book of OHDSI repository

  Language:R114224087

• OHDSI/FeatureExtraction

  An R package for generating features (covariates) for a cohort using data in the Common Data Model.

  Language:R622917161

• SKDon/good-books

  52

• sassoftware/sas-cert-prep-data

  Sample data files to support practice exercises within SAS certification preparation guides.

  Language:SAS356132

• CausalInference/GFORMULA-SAS

  The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

  Language:SAS347416

• skparr/ml_loinc_mapping

  Language:Python16207

• PCORnet-DRN-OC/PCORnet-Data-Curation

  PCORnet Data Curation Query Package

  Language:SAS121143

• sassoftware/little-sas-book-exercises-6ed

  Sample data sets from the book Exercises and Projects for The Little SAS® Book, Sixth Edition, Rebecca A. Ottesen, Lora D. Delwiche, and Susan J. Slaughter

  9503

• PCORnet-DRN-OC/Medicare-Data-Transformation

  This repository contains specifications and programs for transforming Medicare data to the PCORnet Common Data Model

  Language:SAS6400

• PCORnet-DRN-OC/Query-Details

  Code lists and other metadata from various PCORnet network queries

  4303

• suzbert/sas-cert-prep-data

  Sample data files to support practice exercises within SAS certification preparation guides.

  Language:SAS1000