Alternatives and similar repositories for data-science-template

Users that are interested in data-science-template are comparing it to the libraries listed below

• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 7 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 5 years ago
• jorisvandenbossche / DS-python-data-analysis
  Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University
  ☆109Updated 5 months ago
• plotly / dash-oil-and-gas-demo
  Dash Demo App - New York Oil and Gas
  ☆193Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 10 months ago
• davidyakobovitch / data_science_standards
  Data Science Standards - Framework to Productionize Projects throughout the Data Science and Production Solution Lifecycle
  ☆44Updated 3 years ago
• dask / dask-examples
  Easy-to-run example notebooks for Dask
  ☆379Updated last year
• seg / 2016-ml-contest
  Machine learning contest - October 2016 TLE
  ☆196Updated 8 years ago
• agilescientific / notebooks
  IPython Notebooks
  ☆117Updated 6 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 4 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆155Updated 4 years ago
• Jeffalltogether / well_decline_curve_analysis
  Decline curve analysis for oil well production logs.
  ☆62Updated 7 years ago
• akashlevy / Deep-Learn-Oil
  Deep learning tools for predicting oil well data
  ☆92Updated 3 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 7 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆118Updated 5 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• didiooi / beginnersguideML
  Getting Started with Data Science and AI in 2017
  ☆17Updated 7 years ago
• drivendataorg / competition-winners
  The code for the prize winners in DrivenData competitions.
  ☆399Updated 4 months ago
• mycarta / Data-science-tools-petroleum-exploration-and-production
  Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!
  ☆29Updated 4 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• LukasMosser / londonhack_pytorch
  ☆11Updated 5 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆162Updated 4 years ago
• amyoshino / SONYC-Dash-App
  Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
  ☆38Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated 2 years ago