Alternatives and similar repositories for fa_kit

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

• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated 2 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
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 6 years ago
• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆221Updated 2 years ago
• kwmsmith / scipy-2017-cython-tutorial
  Material for the SciPy 2017 Cython tutorial
  ☆143Updated 8 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆150Updated 6 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆251Updated 9 months ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• erikbern / uncertainty
  ☆56Updated 7 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• EducationalTestingService / factor_analyzer
  A Python module to perform exploratory & confirmatory factor analyses.
  ☆264Updated 10 months ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• Densur / PyWoE
  ☆60Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆82Updated 6 years ago
• paulbrodersen / entropy_based_binning
  Entropy based binning of discrete variables.
  ☆34Updated 5 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆270Updated 5 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆81Updated 2 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆65Updated 6 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 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
• dask / dask-xgboost
  ☆161Updated 4 years ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆171Updated 8 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆148Updated 4 years ago
• hankkuang / creditRiskCScoreCard
  credit risk score card develop by python(version 3.6)
  ☆40Updated 7 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 5 months ago