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17 search results found
Change Detection Review
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352
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Autoquant
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227
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Homlr
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220
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Data Science
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39
Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
Ruta
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37
Unsupervised Deep Architechtures in R
Geocmeans
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25
An R package to perform Spatial Fuzzy C-means
Audio Features Unsupervised Learning
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21
In this project I clustered my Spotify music using its audio features with the goal of finding similar music in each of the clusters
Jackstraw
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14
Statistical Inference for Unsupervised Learning
Clustassess
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13
Tools for assessing clustering robustness
Lctmtools
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12
Latent Class Trajectory Models: An R Package
Unsupervised Learning In R
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12
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Coranking
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8
Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
Analytic Projects In Python Eda
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6
There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.
Machine Learning Course
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5
Machine Learning and Deep Learning Course
Rsetse
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5
This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R
Multipattern
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5
Multi-pattern discovery in R
Unsupervisedensembles
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5
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
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1-17 of 17 search results
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