Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

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This website does not host notebooks, it only renders notebooks available on other websites.

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Timeseries Classification: KNN & DTW

Timeseries Classification: KNN & DTW

When it comes to building a classification algorithm, analysts have a broad range of open source options to choose from. However, for time series classification, there are less out-of-the box solutions. Many of the typical classification algorithms (Logistic Regression, Random ...

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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The need for speed without bothering too much: An introduction to numba

The need for speed without bothering too much: An introduction to numba

Yet we should not pass up our opportunities in that critical 3%. A good programmer will not be lulled into complacency by such reasoning, he will be wise to look carefully at the critical code; but only after that code ...

Table of Contents

Table of Contents

Note: this notebook uses the (some) LaTeX environments for Jupyter found within the install of https://github.com/ipython-contrib/jupyter_contrib_nbextensions

Making Animations of UMAP Hyper-parameters

Making Animations of UMAP Hyper-parameters

To start let's load everything we'll need

Additional date/time attributes can be found here . This is a really convenient thing to know, but HORRIBLY documented. What's ...

Additional date/time attributes can be found here . This is a really convenient thing to know, but HORRIBLY documented. What's ...

This website does not host notebooks, it only renders notebooks available on other websites.

Atomic Experiments

Atomic Experiments

http://nbviewer.jupyter.org/github/abidlabs/AtomsOfDeepLearning/blob/master/Atomic%20Experiments%20in%20Deep%20Learning.ipynb

Chunking an Image Dataset for Minibatch Training using NumPy NPZ Archives

Chunking an Image Dataset for Minibatch Training using NumPy NPZ Archives

Other code examples and content are available on GitHub . The PDF and ebook versions of the book are available through Leanpub .

DocTocToc Jupyter notebook

DocTocToc Jupyter notebook

This website does not host notebooks, it only renders notebooks available on other websites.

Jupyter and multiple Languages

Jupyter and multiple Languages

I would be happy to know if you can get it to work on binder .

import

import

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Table of Contents

Table of Contents

@book{bhooshan_2012, place={New Delhi}, title={Fundamentals of engineering electromagnetics}, publisher={Oxford University Press}, author={Bhooshan, Sunil}, year={2012} }

Plotting the effect of every hyperparameter on the training results, and more

Plotting the effect of every hyperparameter on the training results, and more

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Predicting US Census Income Category with Apache Spark

Predicting US Census Income Category with Apache Spark

@author: Anindya Saha @email: [email protected]

Note that this is not how we would do this in practice:

Note that this is not how we would do this in practice:

This website does not host notebooks, it only renders notebooks available on other websites.

Titanic Dataset: Basic Data Exploration

Titanic Dataset: Basic Data Exploration

This website does not host notebooks, it only renders notebooks available on other websites.

Object Detection Demo

Object Detection Demo

Here are the imports from the object detection module.

Objective: Use unsupervised learning to create distinct clusters to represent the most abundant OTU(Operational taxonomic units)/identities of bacteria found in ...

Objective: Use unsupervised learning to create distinct clusters to represent the most abundant OTU(Operational taxonomic units)/identities of bacteria found in ...

We have a lot of Firmicues and Proteobacteria. Usually it's Firmicutes and Bacteriodetes in healthy humans (debatable depends on a lot of factors). Let's change the strings in the columns to numbers using a cool trick with DictVectorizer. For unsupervised ...

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This website does not host notebooks, it only renders notebooks available on other websites.

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01 - Introduction to Machine Learning

01 - Introduction to Machine Learning

version 1.2, Feb 2018

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Data Analysis Examples

Data Analysis Examples

In [6]: open(path).readline() Out[6]: '{ "a": "Mozilla\/5.0 (Windows NT 6.1; WOW64) AppleWebKit\/535.11 (KHTML, like Gecko) Chrome\/17.0.963.78 Safari\/535.11", "c": "US", "nk": 1, "tz": "America\/New_York", "gr": "MA", "g": "A6qOVH", "h": "wfLQtf", "l": "orofrog", "al": "en-US,en;q=0.8", "hh": "1.usa.gov", "r": "http:\/\/www.facebook.com\/l\/7AQEFzjSi\/1.usa.gov\/wfLQtf", "u": "http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22415991", "t": ...

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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12 Atomic Experiments in Deep Learning

12 Atomic Experiments in Deep Learning

The universal approximation theorem , states that a simple feedforward neural network (i.e. a multilayer perceptron) with a single hidden layer and a standard activation function can approximate any continuous function, if the hidden layer has a sufficient number of ...

Gribov Zwanziger Framework

Gribov Zwanziger Framework

Baseado em evidências de estudos da QCD na rede e equações de Dyson-Schwinger, o propagador do quark em $T=0$ pode ser parametrizado por uma função de massa dependente do momento, compatível com a forma funcional:

Translating observations in English to conclusions in German

Translating observations in English to conclusions in German

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Exploring Glottolog with Python

Exploring Glottolog with Python

The latest version of this IPython Notebook is available at http://gist.github.com/xflr6/9050337 .

Thermal theories as differential equations

Thermal theories as differential equations

My sensor data did, however, raise many questions-- none of which made sense to the same top pilots. What’s the temperature of a thermal? How come the air is really dry above cloudbase outside of a cloud? Why do clouds ...