Alternatives and similar repositories for python-sklearn-clustering-cookiecutter:

Users that are interested in python-sklearn-clustering-cookiecutter are comparing it to the libraries listed below

• microsoft / python-sklearn-classifier-cookiecutter
  Cookiecutter template for testing Python scikit-learn classifiers.
  ☆36Updated last year
• microsoft / python-sklearn-regression-cookiecutter
  Cookiecutter template for testing Python scikit-learn regression learners.
  ☆15Updated last year
• DataForScience / Seaborn
  Data Visualization With Seaborn
  ☆10Updated 4 years ago
• quantopian / qgrid-notebooks
  Notebooks which will provide a demo of Qgrid functionality
  ☆20Updated 5 years ago
• PacktPublishing / Machine-Learning-Automation-with-TPOT
  Machine Learning Automation with TPOT, published by Packt
  ☆23Updated 2 years ago
• sachinruk / bayes_school
  ☆16Updated 5 years ago
• duarteocarmo / automation-post
  📝 A blog post about report generation and automation in python
  ☆40Updated 5 years ago
• nyuvis / partial_dependence
  Python package to visualize and cluster partial dependence.
  ☆28Updated 2 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated last year
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• microsoft / pyspark_propensity_matching
  library for conducting propensity matching on spark scale
  ☆14Updated last year
• PacktPublishing / Fundamentals-of-Machine-Learning-with-scikit-learn
  Fundamentals of Machine Learning with Scikit-Learn
  ☆17Updated 4 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 7 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 5 years ago
• oreillymedia / Data_Analytics_with_Hadoop
  ☆14Updated 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
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 4 years ago
• albahnsen / AdvancedMethodsDataAnalysisClass
  ☆17Updated 4 years ago
• xlwings / talks
  Material from presentations
  ☆13Updated 3 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• Sundar0989 / model-interpretability
  ☆9Updated 4 years ago
• PacktPublishing / Hands-On-Data-Science-with-Anaconda
  Hands-On Data Science with Anaconda, published by Packt
  ☆26Updated last year
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 6 years ago
• freedomtowin / kernelml
  ☆21Updated last year
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆20Updated 6 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago