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GitHub2mon

Random-Forest-Based-Land-Cover-Classification-Using-Sentinel-2-Remote-Sensing-Data-in-Python

This repository demonstrates a complete land cover classification pipeline using Sentinel-2 multispectral imagery and a Random Forest machine learning model in Python. The workflow includes ...
GitHub1mon

Roysubh/-Building-Footprint-Mapping-from-Hyperspectral-Imagery-Using-Point-Based-RandomForest-in-Python

R² Score 0.9938 Indicates how well the model explains variance in the data (closer to 1 is better). RMSE 0.0394 Root Mean Squared Error — measures average ...
Pew Research Center5y

Using fixed and random effects models for panel data in Python

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...
Scientific Research Publishing6mon

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
JSTOR Daily1y

The Concentration Ellipsoid of a Random Vector Revisited

Alternative definitions of the concentration ellipsoid of a random vector are surveyed, and an extension of the concentration ellipsoid of Darmois is suggested as being the most convenient and natural ...
JSTOR Daily9mon

Almost Sure Invariance Principles for Weakly Dependent Vector-Valued Random Variables

We obtain the almost sure approximation of the partial sums of random variables with values in a separable Hilbert space and satisfying a strong mixing condition by a suitable Brownian motion. This is ...