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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Datos catastrales del SII de Chile — 9.5M predios, 343 comunas, poligonos vectorizados. Plataforma de distribucion gratuita.
Uplift modeling and causal inference with machine learning algorithms
Backend + pipeline de roles.tremen.tech — Explorador Catastral SII de Chile. FastAPI, PostgreSQL 16 + PostGIS 3.5, 145M rows.
Frontend de roles.tremen.tech — Explorador Catastral SII de Chile. React 19 + Vite 7, Leaflet, Recharts.
A wrapper of different indices and networks commonly used in Economic Complexity
HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
Web Scrap datos calidad del aire del SINCA y generacion automatica de reportes
Repo supporting "The changing risk and burden of wildfire in the United States"
Repo supporting Childs et al 2022 "Daily local-level estimates of ambient wildfire smoke PM2.5 for the contiguous US"
The Space-Time Flow LISA method to measure spatiotemporal autocorrelation of panel flow data
Bivariate local Moran's I for spatial flow data
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
FastAPI Cookbook, published by Packt
Machine Learning algorithms for spatial and spatiotemporal data
pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decision…
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
Code that accompanies the book "Linear Algebra for Data Science"
Geospatial emergency management related components and scripts for GeoBC's Business Innovation and Emergency Response section.
Python code for "Probabilistic Machine learning" book by Kevin Murphy