Code and data repository for the analysis of global forest fragmentation
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Updated
Nov 29, 2016 - Python
Code and data repository for the analysis of global forest fragmentation
A function that can convert beam profiles to an equivalent I-profile, based on several distinct properties. WIP
Thesis titled "Geospatial Semantic Pattern Recognition in Volunteered Geographic Data Using the Random forest Algorithm" for the degree of Masters of Spatial Analysis at Ryerson University in 2016
The classic Kaggle Titanic data science challenge
A set of tools useful for doing experiments with fuzzy forests
I implemented the Random Forest Classifier in both Python and R
A reference implementation for a quantum virtual machine in Python
Python package for implementing individual-based forest models
Python module to calculate local variable importance with the global model
Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano
Use R script to plot your own personal movie ratings against the average IMDB user's. The R script also runs a KNN Model that predicts what movies you will like based on your personal IMDB ratings.
Estimación de cobertura de la tierra a 2050 a partir de estimadores de Random Forest
Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
This repository presents the product of my master's thesis, which uses UNet to map deforestation using Sentinel-2 Level 2A images.
OpenFermion quantum chemistry plugin for @rigetti Forest.
Quantum algorithms built using pyQuil.
Build disaster response pipelines with the message data from Figure Eight. A ETL pipeline was built to process the message data from major natural disasters around the world. A ML pipeline was built to categorize these events according to the messages. A web app was set up to visualize the data and classify the message after typing in.
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