Alternatives and similar repositories for text-mining-class

Users that are interested in text-mining-class are comparing it to the libraries listed below

• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• ninoch / Trend-Simpsons-Paradox
  ☆57Updated 3 years ago
• lucjb / pydata
  ☆11Updated 9 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• trallard / ReproduciblePython
  Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
  ☆111Updated 6 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 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
• dperezrada / keywords2vec
  ☆123Updated 2 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 11 months ago
• cmry / omesa
  Experiment, Storage and Visualization Framework for Machine Learning research.
  ☆31Updated 4 years ago
• RaRe-Technologies / talks
  Presentations & notebooks from our talks /workshops/meetups/etc
  ☆24Updated 7 years ago
• shirmeir / bubble_plot
  Visualize linear and non-linear connections between numerical/categorical features (2D histogram with bubbles)
  ☆21Updated 6 years ago
• civisanalytics / muffnn
  Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn
  ☆46Updated 2 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 8 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated last year
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 9 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆127Updated 5 years ago
• GaelVaroquaux / sklearn_ensae_course
  Materials for a course on scikit-learn at ENSAE
  ☆31Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆109Updated 4 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago