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Search results for jupyter notebook pydata
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134 search results found
Pydata Notebook
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3,666
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Network Analysis Made Simple
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991
An introduction to network analysis and applied graph theory using Python and NetworkX
Tutorials
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915
CatBoost tutorials repository
Pytorch_tutorial
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445
PyTorch Tutorial (1.7)
Sphinx Book Theme
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379
A clean book theme for scientific explanations and documentation with Sphinx
Awesome Pandas
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346
A collection of resources for pandas (Python) and related subjects.
Spacy Notebooks
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242
💫 Jupyter notebooks for spaCy examples and tutorials
Movie Plots By Genre
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208
Movie plots by genre tutorial at PyData Berlin 2016
Pydata Cookbook
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184
PyData Cookbook Project
Bookrepo
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156
Pydata Chicago2016 Ml Tutorial
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128
Machine learning with scikit-learn tutorial at PyData Chicago 2016
Gp_regression
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118
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Pydataseattle
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112
For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
Python Graphblas
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95
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Data Science At Scale
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95
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
Pydatadc_2018 Tidy
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92
PyData 2018 tutorial for tidying data
Sktime Tutorial Pydata Amsterdam 2020
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91
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Pydata Annarbor2017 Dl Tutorial
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83
Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
Pycon_social_networkx
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80
Social network analysis code examples for PyCon 2019 talk
Tutorial Arima W Jeffrey Yau
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77
Mcmc_pydata_london_2019
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75
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
Pydata_pandas
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72
A PyData workshop on pandas
Pydata Medical Image
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66
A Deep Learning talk+tutorial for medical image processing
Pydata Pandas Workshop
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65
Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
Pydataamsterdam2018
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64
Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018
Pydata101
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61
Pydata Gbrt Tutorial
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60
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
Jupyterhub Pydata 2016
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59
Talks
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54
Pydata
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53
Notebooks from the Face Recognition Tutorial I gave at PyData Amsterdam
Dashintro
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53
A quick intro to Dash made for the PyData event in Zurich
Array Api Comparison
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51
Data and tooling to compare the API surfaces of various array libraries.
Pydata Chi H2t
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48
Materials for the pandas tutorial at PyData Chicago 2016
Notebooks
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45
Ipython notebooks on various topics
Quant Library
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41
α collection of resources for people interested in quant finance
Tales Science Data
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40
WORK UNDER RESTRUCTURING
2016 Pydata Carolinas Pandas
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39
Material for Pandas Tutorial at Pydata Carolinas 2016
Pydataberlin 2019
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37
This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Berlin 2019.
Pydata Nyc 2018 Tutorial
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36
Pydata Tokyo Tutorial 1
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35
Materials for PyData.Tokyo Tutorial & Hackathon #1
Geopython
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35
Probandstats Pydatanyc2019
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34
Introduction to Probability and Statistics
Meetup
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33
The PyData Zurich meetup
Pydata Amsterdam 2016
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33
Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
Pydata Carolinas 2016
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31
📊 My tutorial for PyData Carolinas 2016
Rasa Workshop Pydata Berlin
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31
Julia For Pythonistas
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31
Materials for the Julia for Pythonistas tutorial at Pydata Carolinas 2016
Pydatadc2016 Pandasfromtheinside
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30
Tutorial session from PyData Washington DC, Fri 7 October 2016
Rasa Demo Pydata18
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29
Demo application for the PyData Conference in Amsterdam 2018
Data Science Workshop 2019
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27
Doing Frequentist Statistics With Scipy
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27
Repository for the PyData DC 2016 tutorial
Heat_and_trees
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25
Using HoloViz to explore relationship between surface temperature and tree density
Pynotes
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23
Pydatany_2019_tutorial
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22
Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
Pydata Pseudolabelling Keynote
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21
Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
A Tour Of Jupyterlab Extensions
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20
A Tour of JupyterLab Extensions - PyConDE & PyData Berlin 2019
Pydata London 2018
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20
Slides and notebooks for my tutorial at PyData London 2018
Bayesian Workflow With Pymc
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20
Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
Dask Tutorial Pydata Seattle 2017
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19
Dask Tutorial for PyData Seattle 2017
Pydata 2019
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19
Materials for the Presentation "A Crash Course in in Applied Linear Algebra"
Python Webscrapes
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19
This repo contains materials of my talk at PyData Seattle 2017
Pydatabcn2017
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19
Presentation materials for PyData Barcelona 2017
Pydata_bcn_networkx
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18
Materials for the NetworkX workshop at PyData Barcelona 2017 conference
Pydata Ams2017 Pandas And Dask From The Inside
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17
Tutorial on Pandas at PyData Amsterdam, 9am to midday, Friday 7 April 2017
Dask Pydata Chi 2016
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17
Dask tutorial for PyData Chicago 2016
Pydataglobal2020
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17
An introduction to DataFrames.jl for pandas users
Pydata Asyncio
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17
Introduction to Asyncio, presented at PyData Amsterdam 08/04/2017
Front To Back
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16
Talk about IPython frontends and backends for PyData SV 2014
Pydatanyc2017
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16
This repository contains the slides and notebooks for the bqplot talk at PyData NYC 2017
Pydata Chi Docker
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16
Pydata Berlin2017 Pandas And Dask From The Inside
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15
Pandas_tutorial
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15
Pandas Tutorial for Pydata Meetup Jan 31
Sktime Tutorial Pydata Global 2021
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15
Introduction to sktime at the PyData Global 2021
Leveling Up Viz Story
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15
Material for my workshop at PyData Berlin 2018
Pydata Bcn
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14
Tutorial on HDF5 and pandas for PyData Barcelona
Dydatasf2016visualization
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14
Materials for the PyData San Francisco 2016 visualization tutorial
Conference
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14
Slides and material from PyData San Luis 2017 conference
Talks
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14
Various presentations I've given on things.
Gp_tutorial_pydata
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13
PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
Pydata_berlin_2018
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13
Slides and code for the PyData Berlin 2018 tutorial
Pytorch Beautiful Ml Data
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13
PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
Clickbait Workshop
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13
Pydata 2017 workshop: build a clickbait detector with python
Rasa Workshop Pydata Dc
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12
This repository contains the code of the Rasa workshop at PyData DC 2018
Practical Opencv Guide
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12
Discussing about OpenCV and it's applications in brief.
Making Your Code Faster Cython And Parallel Processing In The Jupyter Notebook
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12
Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
Postgresopen 2017
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12
Scalable in-database machine learning with PL/Python: Postgres Open SV 2017 talk
Herestapis
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12
Tutorial showing essential HERE Location Services RESTful APIs.
Neural Image Captioning
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12
Implementation of Neural Image Captioning model using Keras with Theano backend
Dask Pydata Dc 2016
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11
Dask tutorial for PyData DC 2016
Pydataseattle2017
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11
A repository containing notebooks from my talk at PyData Seattle
Dataanalysisparallel Pydata
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11
Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data
Pydataglobal2022
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11
PyData Global Workshop: Jupyter Notebooks in VS Code
Spark_tutorial
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11
Code for the Spark tutorial at the Pydata conference in London June 2015
Rasa Workshop Pydata Nyc
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11
This repository contains the code of the Rasa workshop at PyData NYC 2018
Pydata Chicago 2016
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10
Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentatio
Lime Interpretable Ml
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10
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
Network Graph Tutorial
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10
construct a network graph to explore and visualize how people connect in an organisation
Pydata_2018
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10
Repo for PyData 2018 tuorial
Pydatanyc_2019
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10
Materials for the Neural Network tutorial at PyData NYC 2019
Techtalks
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9
My collection of talks I gave at conference or Meetup like events
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