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Name: Jonathan Diaz
Type: User
Bio: Mine and Safety Engineer | Data Science enthusiast
Twitter: jdiazin
Location: Peru
Name: Jonathan Diaz
Type: User
Bio: Mine and Safety Engineer | Data Science enthusiast
Twitter: jdiazin
Location: Peru
100 Days of ML Coding
An introduction to Bayesian statistics using Python and (coming soon) R.
A open pit mine optimiser utilising graph algorithms, Lerchs Grossman and Pseudoflow.
Computer Vision Basics in Microsoft Excel (using just formulas)
Modelos predictivos de la evolución del COVID-19
An introduction to data science in Python, for people with no programming experience.
Geospatial data modeling using Python
Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Completely free access list of resources to learning machine learning and deep learning👨🏻💻🚀
The entrance repository of Markdown presentation ecosystem
Pit by Pit graph, Profit/ton graph, Preliminary Production Plan analysis
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Companion webpage to the book "Mathematics For Machine Learning"
Plantilla LaTeX para tesis de grado de la Universidad Nacional de Ingeniería
Curated list of project-based tutorials
Guia práctica de Python para el Laboratorio de Estadística Computacional.
Python Data Science Handbook: full text in Jupyter Notebooks
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Getting the Rock Fragmentation Distribution using Convolutional Neural Networks (CNN)
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.