Alternatives and similar repositories for Tutorial_PracticalMachineLearning_Pycon:

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

• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• albahnsen / AppliedDeepLearningClass
  Class Applied Deep Learning - Summer 2018
  ☆33Updated 6 years ago
• DataScienceUB / DeepLearningfromScratch2018
  DeepLearningfromScratch2018
  ☆20Updated 6 years ago
• jwagemann / 2017_pydata_tutorial
  Hands-on tutorial on OGC web services and big climate data analysis.
  ☆9Updated 5 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• jakevdp / matplotlib_pydata2013
  PyData SV 2013 Tutorial on Advanced Matplotlib
  ☆57Updated 11 years ago
• dljthomas1 / Accessing-OpenStreetMap-Data
  A Jupyter project that demonstrates how to access local data from OpenStreetMap to improve your ML models. Demonstrates the use of K-D Tr…
  ☆12Updated 4 years ago
• Grupo-de-modelado-probabilista / modelado_bayesiano
  Introducción al modelado, inferencia y análisis de modelos Bayesianos
  ☆28Updated 6 months ago
• corriebar / PyLadies-Bayesian-Tutorial
  Material for the PyLadies Bayesian Tutorial, Feb 11, 2020
  ☆12Updated 2 years ago
• amyoshino / SONYC-Dash-App
  Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
  ☆38Updated 2 years ago
• chlewissoil / TernaryPlotPy
  A ternary plot, in Python, written originally for soil texture representation.
  ☆14Updated 3 years ago
• jaidevd / scipy_pandas_tutorial
  Repository containing notebooks for my Pandas tutorial at SciPy India 2013
  ☆15Updated 5 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 8 years ago
• profjsb / ml_course
  "Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
  ☆27Updated 5 years ago
• jakevdp / GitIntro
  Git tutorial materials
  ☆22Updated 7 years ago
• datacratic / mtlpy50
  Nicolas Kruchten's presentation at Montreal Python 50
  ☆27Updated 10 years ago
• HCsoft-RD / shaolin
  Data visualization and analysis library based on the pydata stack
  ☆19Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated 2 years ago
• jakevdp / 2013_fall_ASTR599
  Content for my Astronomy 599 Course: Intro to scientific computing in Python
  ☆139Updated 6 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆25Updated 7 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆43Updated 9 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• bmtgoncalves / Neural-Networks
  A basic tutorial on Neural Networks
  ☆19Updated 6 years ago
• scipy-conference / scipy-conference
  SciPy Conference Materials
  ☆47Updated last week
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆25Updated 8 years ago
• holoviz-demos / glaciers
  ☆27Updated 5 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 6 years ago