h2oai / article-information-2019

Related projects: ⓘ

• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 2 years ago
• georgian-io / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• PipelineAI / notebooks
  Sample Notebooks for PipelineAI
  ☆44Updated last year
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 8 years ago
• Brett777 / Predict-Churn
  ☆11Updated 5 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 7 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• Featuretools / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆18Updated 5 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆41Updated last year
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆26Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆23Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated last year
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆59Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 4 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆79Updated 4 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year
• Dpananos / Categorical-Features
  A tutorial in impact encoding for categorical features
  ☆11Updated 6 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆25Updated 5 years ago
• minerva-ml / steppy-examples
  Examples and tutorials to the steppy library
  ☆21Updated 5 years ago
• lucjb / hteng
  Hash Trick Engineering
  ☆11Updated 6 years ago
• stefan-jansen / topic-modeling
  ☆14Updated last year
• joehoeller / AutoML-with-Genetic-Algorithms-to-Accurately-Predict-Customer-Churn
  ☆12Updated this week
• antoinecarme / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆12Updated 3 years ago
• hanhanwu / Hanhan_Data_Science_Resources
  helpful resources for (big) data science
  ☆33Updated 3 years ago