YuriyGuts / odsc-target-leakage-workshop

Related projects ⓘ

Alternatives and complementary repositories for odsc-target-leakage-workshop

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• mds47 / time-series-workshop
  ☆31Updated 6 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 3 weeks ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated 7 months ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 5 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 7 years ago
• Dpananos / Categorical-Features
  A tutorial in impact encoding for categorical features
  ☆11Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• jphall663 / GWU_rml
  ☆35Updated 9 months ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 4 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated 9 months ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year