Alternatives and similar repositories for k-means-plus-plus-pandas

Users that are interested in k-means-plus-plus-pandas are comparing it to the libraries listed below

• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• UltravioletAnalytics / text-features
  Jupyter notebook containing code from text preprocessing blog post
  ☆10Updated 8 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆30Updated 7 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 11 years ago
• dolaameng / tutorials
  different types of tutorials, such as machine learning, image processing and etc.
  ☆102Updated 9 years ago
• scikit-learn / ml-benchmarks
  Benchmarks for various machine learning packages
  ☆92Updated 11 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆48Updated 4 years ago
• braz / pycon2015_talk
  The slides, code examples and resources for the PyCon 2015 Ireland talk on building data pipelines
  ☆13Updated 9 years ago
• glouppe / tutorials-scikit-learn
  Scikit-Learn tutorials
  ☆130Updated 7 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 3 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 5 months ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 8 years ago
• skylergrammer / SimulatedAnnealing
  ☆45Updated 4 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• zygmuntz / cubert
  How to make those 3D data visualizations
  ☆23Updated 7 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• pydataberlin / conf2017slides
  ☆57Updated 8 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 7 years ago