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svm
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24 search results found
M2cgen
⭐
2,411
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Ml Course
⭐
168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Liquidsvm
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45
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s
Rgtsvm
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22
The R package for SVM with GPU architecture based on the GTSVM software
Music
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22
根据歌词文本,分析歌曲是伤感还是甜蜜
Fashion
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22
The Fashion-MNIST dataset and machine learning models.
Svm Rfe
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18
An R implementation of the (multiple) Support Vector Machine Recursive Feature Elimination (mSVM-RFE) feature ranking algorithm
Introduction To Machine Learning
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17
A document covering machine learning basics. 🤖📊
Fast Furious
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16
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Rchemo
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13
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Swarmsvm
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10
The repository is an R package about ensemble learning algorithms based on SVM for my Google Summer of Code 2015 project
Rnirs
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10
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
Risk Model
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9
2. This code cleans your property data and runs the risk model to determine and assign a risk score to each property.
Classyfire
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8
R package clasyfire
Mercy
⭐
7
Functions and code snippets to help save the time!
Svm
⭐
7
Learn to use Support Vector Machines in Python(sklearn) and R
Data Science
⭐
7
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
Applied Machine Learning
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6
Applied Machine Learning
Machine Learning With Python
⭐
5
Image_classification
⭐
5
An implementation (in R) of a not so usual "deep learning" architecture using K-Means and SVM
Svm Mapreduce
⭐
5
A map reduce approach to SVM classification. http://r-es.org/Concursos+V+Jornadas
Data Scooping
⭐
5
Flyweight data mining with R
Kaggle Mlsp 2014
⭐
5
Maclearn Short
⭐
5
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