Alternatives and similar repositories for xgb-bias-variance:

Users that are interested in xgb-bias-variance are comparing it to the libraries listed below

• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 7 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• jphall663 / GWU_rml
  ☆35Updated last month
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 5 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 6 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
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 6 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 7 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago