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Name: Luke Scanlon
Type: User
Name: Luke Scanlon
Type: User
Repo for the data science work
Mostly experiments based on "Advances in financial machine learning" book
Codes related to activities on AV including articles, hackathons and discussions.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
A web tool for converting BIP39 mnemonic codes
Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Convolutional Neural Networks
The Leek group guide to data sharing
DreamFactory Services Platform
Markowitz portfolio optimisation (efficient frontier) in Python
Financial Analysis in Python tutorial
FIP Momentum Repo
Hidden Markov Models in Python, with scikit-learn like API
How-To code samples for working with GraphLab Create.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Coursera machine learning specialization coursework (python based, University of Washington).
Machine Learning Specialization offered by UW
Data files (.csv) accessed with nflscrapR and summarized at the player-level
Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.
Recipes for using Python's pandas library
Create HTML profiling reports from pandas DataFrame objects
Repository for Programming Assignment 2 for R Programming on Coursera
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Portfolio and risk analytics in Python
An attempt to use scrapy to pull historical NFL game data and to use a supervised learning algorithm to attempt to predict the results of games
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.