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Name: Saul Lugo
Type: User
Location: Madrid, Spain
Name: Saul Lugo
Type: User
Location: Madrid, Spain
Devops scripts for my GCP projects
This is a repo for the project of the Getting and Cleaning Data course at coursera.org. Getting and Cleaning Data course is part of the Data Science Specialization at Coursera.
Tutorials and training material
An API to train kmeans models using R plumber package
Exercises learning python
Repositorios de código para el libro "Introducción a Apache Spark para empezar a programar el Big Data"
Small tutorials and posts explaining things about Machine Learning
My notes during the Machine Learning Specialization of University of Washington at coursera.org
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
Proyecto para ilustrar el uso del patrón de diseño Memento en Java
Following the Flask mega-tutorial at http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
My projects taking the Machine Learning Foundations class in the Machine Learning Specialization (University of Washington at coursera.org)
Code samples for my book "Neural Networks and Deep Learning"
My Portfolio Manager implemented in python/flask
Python library to interact with the IEX Cloud financial data API
Final project of the Practical Machine Learning Course of the Data Science Specialization at coursera.org
Machine Learning class on the Data Science Specialization of the Johns Hopkins University at coursera.org
A course in reinforcement learning in the wild
Repository for Programming Assignment 2 for R Programming on Coursera
A script to access the email from Python
Jupyter Notebooks for the Python Data Science Handbook
Recipefinder project in the Introduction to Ruby on Rails course
Recommender Systems
Regression Models class at John Hopkins Data Science Specialization at coursera.org
Peer Assessment 1 for Reproducible Research
Assignment #2 in the Reproducible Research course in the Data Science Specialization at Coursera.com
My helper functions in R
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.