Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

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Self-Driving Car Engineer Nanodegree

Self-Driving Car Engineer Nanodegree

In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a 'Question' header. Carefully read each question and ...

Data generation and multi-layer VAE subgraphs

Data generation and multi-layer VAE subgraphs

Delivered by Fastly , Rendered by Rackspace

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.

Delivered by Fastly , Rendered by Rackspace

How to Scrape Data From Facebook Page Posts for Statistical Analysis

How to Scrape Data From Facebook Page Posts for Statistical Analysis

This notebook describes how to build a Facebook Scraper using the latest version of Facebook's Graph API (v2.4). This is the accompanyment to my blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis .

Data Science is Software

Data Science is Software

Continuum's conda tool provides a way to create isolated environments . In fact, you've already seen this at work if you followed the pydata setup instructions to setup your machine for this tutorial. The conda env functionality let's you created ...

Python script for viewing MNIST images and their labels

Python script for viewing MNIST images and their labels

Small conversions to Python 3 by brakmic

Response rates in surveys

Response rates in surveys

Current data:

OpenFEMA API Documentation

OpenFEMA API Documentation

/api/open/[version]/[entity] version = v1,v3,v3 etc. entity = entity

dockcross: C++ Write Once, Run Anywhere

dockcross: C++ Write Once, Run Anywhere

Claim by Java programmers.

Fancy Indexing

Fancy Indexing

The text is released under the CC-BY-NC-ND license , and code is released under the MIT license . If you find this content useful, please consider supporting the work by buying the book !

Scikit-learn digits tutorial

Scikit-learn digits tutorial

The aim is to teach your computer to recognise digits. We'll used the "digits" dataset that's built into scikit-learn, using most of it to train the system, and the remainder to test it. At the end we'll also see how ...

Introduction to Natural Language Processing with fastText

Introduction to Natural Language Processing with fastText

As in most areas of Machine Learning, NLP accuracy has improved considerably thanks to deep learning. Just to highlight the most recent and impressive achievement, in October 2016 Microsoft Research reached human parity in speech recognition . For that milestone, ...

Introduction to Natural Language Processing with fastText

Introduction to Natural Language Processing with fastText

As in most areas of Machine Learning, NLP accuracy has improved considerably thanks to deep learning. Just to highlight the most recent and impressive achievement, in October 2016 Microsoft Research reached human parity in speech recognition . For that milestone, ...

回帰モデル

回帰モデル

ここで,放送済データ(観測データ)を$X$と$Y$とする.

First Python Notebook: Scripting your way to the story

First Python Notebook: Scripting your way to the story

A step-by-step guide to analyzing data with Python and the Jupyter Notebook.

Pairwise Distance Calculation on the GPU

Pairwise Distance Calculation on the GPU

Many machine learning algorithms require calculation of certain type of distances, because distance is a good measure for differences between data points. Distance matrices are used in Support Vector Machines, K-Nearest Neighbors, K-Means or Radial Basis Function Approximation. For instance ...

Objective

Objective

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

Getting started with Basemap: Post 1

Getting started with Basemap: Post 1

This is the first notebook which I have created to walk you through the project. In this notebook, I will get you accustomed to the data and concentrate on plotting the data on a world map. In the posts to ...

Demo Setup

Demo Setup

Recall that Jupyter notebooks support a bunch of magic commands and cell magic. In this tutorial, standard Unix commands will be run with line magics. Those commands that are not supported by line magic will be run with bash cell ...

Housing Prices Prediction using various Regression Techniques

Housing Prices Prediction using various Regression Techniques

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

ETCBC versions

ETCBC versions

If we succeed, then text-fabric notebooks that are based on an older version of the data, can also be used unmodified on newer versions of the data.

数値計算で重ね合わせの原理の検証(お遊び)

数値計算で重ね合わせの原理の検証(お遊び)

先の運動方程式を連立微分方程式の形に書き下す.右辺をF(t)と置くと次のように変形できる. $$ \frac{d}{dt} \left[ \begin{array}{rrr} x \\ \dot x \end{array} \right] = \left[ \begin{array}{rrr} \dot x \\ \frac{-c \dot x - k x + F(t)}{m} \end{array} \right] $$

Acknowledgements

Acknowledgements

Thanks Peter!

Some useful analogies to SQL operations

Some useful analogies to SQL operations

Sample given below.

Introduction

Introduction

ThensorFlow is a powerful frameowrk. Complete implementations of deep learning models mix together the definition of the network, resource allocation, monitoring. While each aspect is simple, they might look complex when put together, especially to a beginner.

www.imdb.com

www.imdb.com

Beaucoup de données textuelles ne sont pas labélisées ...

ChemSpiPy: Spectra

ChemSpiPy: Spectra

First we'll start by setting up our ChemSpider session in the usual way:

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.

Delivered by Fastly , Rendered by Rackspace

Analysing and visualising data from multiple sources in QGIS

Analysing and visualising data from multiple sources in QGIS

We are going to make an interactive version of the map below, starting with data from three different sources merged using QGIS. We will also see some key differences between data access methods.