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Name: Tom Ewing
Type: User
Company: Department of Transport
Bio: Data ninja, beer drinker, do-er of stupid things and occasional data scientist, hacker and web developer.
Location: London, UK
Name: Tom Ewing
Type: User
Company: Department of Transport
Bio: Data ninja, beer drinker, do-er of stupid things and occasional data scientist, hacker and web developer.
Location: London, UK
Maps, Geography code snippets and probably more.
An experiment of using the LDA machine learning algorithm to generate topics from documents and tag them with those topics
Handlebars Examples
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A curated list of applied machine learning and data science notebooks and libraries accross different industries.
A generic template for creating interactive maps in d3 and leaflet
Introduction to Statistics using Python
IPython widgets for the Jupyter Notebook
Jupyter metapackage for installation, docs and chat
My entry into the Kaggle House prices competition
Repo for my code for the Predict Sales Kaggle competition here: https://www.kaggle.com/c/competitive-data-science-predict-future-sales
My code for the Kaggle Titanic competition
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Translation of <Machine Learning Yearning> by Andrew NG
Instructions to setup a decent GCP-friendly Linux development environment in Windows
A coding test!
Source code accompanying O'Reilly book: Machine Learning Design Patterns
A collection of Natural language processing pre-trained models.
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
A great intro dataset for data exploration & visualization (alternative to iris).
Repo showing some neat packages for Pandas
A list of resources for my friends at Pipedrive =)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Best bits fro PyData London 2016
A Python for Analysts Training course
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.