Python package for implementing individual-based forest models
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Updated
Jun 19, 2019 - Python
Python package for implementing individual-based forest models
Python statistics analysis projects
This is a burst-and-coast model implementation as described in Calovi et al. PLoS Computational Biology article entitled Disentangling and modeling interactions in fish with burst-and-coast swimming reveal distinct alignment and attraction behaviors.
Donut and Cup Modelling (Beginner series) Projects and outputs. Add your project and output to compare with other beginners who tried the same tutorial, with variations in results.
Feature engineering and modelling to predict the high booking rate of an Airbnb listing.
R Package: Routines for the analysis of passive acoustic telemetry data (Lavender et al., 2023).
A website which uses TensorflowJS in the backend to run Machine Learning model to predict diabetes using images of retina.
⚡🌊 Supplementary files presenting the results for paper "An assessment on potential wave power along a coastal province, Central Vietnam"
ARtify which introduced with AR (sceneform) used c#
Dominic Riccoboni's Mechanical Engineering Master's Thesis at California Polytechnic State University, San Luis Obispo. Follows the creation of a nonlinear dynamic model of a motor actuated ball and plate robotic system. Development of a trajectory control system is currently underway.
La simulación Monte Carlo es un método que utiliza números aleatorios para imitar la incertidumbre en un modelo o sistema, y se utiliza ampliamente para obtener una comprensión más completa del comportamiento del sistema.
An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.
Tiny Discrete event simulation package written in pure python
It is a skeleton structure for epidemic modelling using SIR models.
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