Alternatives and similar repositories for inter_workshop

Users that are interested in inter_workshop are comparing it to the libraries listed below

• 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
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• moovai / model_validation_tutorial
  Tutorial of machine learning model validation
  ☆15Updated 2 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 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
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• vikua / ts-workshop
  ☆13Updated 2 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• angelabassa / data-science-competency-matrix
  ☆125Updated 6 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 4 months ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 8 years ago
• robinsones / Data-Science-Freelancers
  An analysis of 93,000+ data science freelancers
  ☆57Updated 9 years ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆39Updated 8 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• klarsen1 / gampost
  ☆78Updated 10 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• SeanPLeary / shapley-values-h2o-example
  Shapley Values with H2O AutoML Example (ML Interpretability)
  ☆19Updated 6 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 6 months ago
• jphall663 / GWU_rml
  ☆39Updated 5 months ago