rajshah4 / inter_workshop

Related projects ⓘ

Alternatives and complementary repositories for inter_workshop

• moovai / model_validation_tutorial
  Tutorial of machine learning model validation
  ☆15Updated last year
• 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)
  ☆36Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated last year
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆82Updated last year
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 4 years ago
• angelabassa / data-science-competency-matrix
  ☆125Updated 5 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated last year
• zirmite / odsc-2022-statistics
  Repo for the "Statistics for Data Science" workshop at ODSC West 2022
  ☆17Updated last year
• InseadDataAnalytics / INSEADAnalytics
  ☆122Updated last year
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆25Updated 7 years ago
• garretthoffman / ODSC_East_2019_Deploy_DS_Apps
  Slides and Code Samples for ODSC East 2019 Talk on Deploying Data Science Applications
  ☆14Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 2 months ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 7 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆126Updated 3 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• jaredlander / odsceast2019
  ☆12Updated 5 years ago
• WLOGSolutions / telco-customer-churn-in-r-and-h2o
  Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
  ☆58Updated 7 years ago
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆15Updated 3 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 4 months ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 2 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆117Updated 4 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 4 years ago
• SeanPLeary / shapley-values-h2o-example
  Shapley Values with H2O AutoML Example (ML Interpretability)
  ☆19Updated 5 years ago
• uc-python / intermediate-python-datasci
  Intermediate Python for Data Science Workshop
  ☆24Updated 3 months 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
  ☆135Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆140Updated 4 years ago