decastro-alex Goto Github PK
Name: alex-decastro
Type: User
Location: London
Name: alex-decastro
Type: User
Location: London
100 Days of ML Coding
Repository for attendees of ARCHER software carpentry workshop at University of Portsmouth 14-15 Dec 2015
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science." These are mostly written for the RATS time-series analysis system, which is commercial software.
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Exercises for the book Artificial Intelligence: A Modern Approach
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Simple customer and order management system written especially with photographers in mind
Code and examples from Business Data Science
Explore, analyse and visualise Betfair Historical Data Feed using PySpark.
Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin
Code for the Book Causal Inference in Python
🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
Docker image with all the components of the Google Cloud SDK
A complete computer science study plan to become a software engineer.
Cointegration, Correlation, and Log Returns Blog Post
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Documentation for GitHub Copilot
Introduction to Parallel Programming class code
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
Modelling and machine learning: the foundations of data science
Deep Learning Specialization by Andrew Ng on Coursera.
Code and other material for the book "Deep Learning and the Game of Go"
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Code and notes from Peter Norvig's Design of Computer Programs (Udacity)
Exersises from Peter Norvig's Udacity course "Design of Computer Programs"
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.