Alternatives and similar repositories for nyc-2019-scikit-sprint

Users that are interested in nyc-2019-scikit-sprint are comparing it to the libraries listed below

• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated 2 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• MridulS / pydata-networkx
  [Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, …
  ☆69Updated 4 years ago
• wimlds / starter-kit
  A starter kit for new chapters of WiMLDS
  ☆43Updated 10 months ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• nderzsy / Network-Analysis-in-Python---Tutorial-JupyterCon18-ODSCEast18
  "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.
  ☆37Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• trallard / ReproduciblePython
  Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
  ☆111Updated 6 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
  ☆156Updated 4 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• mrocklin / pydata-nyc-2018-tutorial
  ☆36Updated 6 years ago
• DataForScience / Networks
  Network and Graph Algorithms From Scratch
  ☆112Updated 2 years ago
• edge-ai-vision / dlcvtf2
  Deep Learning for Computer Vision with TensorFlow 2.0
  ☆19Updated 5 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• bmtgoncalves / Neural-Networks
  A basic tutorial on Neural Networks
  ☆19Updated 6 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆138Updated 8 years ago
• sachinruk / bayes_school
  ☆16Updated 6 years ago
• minrk / jupyterhub-pydata-2016
  ☆66Updated 9 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last year
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago