Alternatives and similar repositories for CategoricalAnalysis

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

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 8 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 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…
  ☆31Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated 3 weeks ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆33Updated 9 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• 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
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 5 months ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• gaborfodor / TNP
  Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network
  ☆13Updated 8 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago