mlr: Machine Learning in R
R
Updated Mar 22, 2019
Jupyter Notebook
Updated Mar 11, 2019
Features selector based on the self selected-algorithm, loss function and validation method
Python
Updated Oct 15, 2018
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) …
Jupyter Notebook
Updated Feb 14, 2017
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for M…
This repository contains the code related to Natural Language Processing using python scripting language. All the cod…
Jupyter Notebook
Updated Jan 6, 2019
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The im…
Scala
Updated Feb 4, 2019
A fast xgboost feature selection algorithm
Python
Updated Jan 22, 2018
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
Python
Updated Sep 14, 2018
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Ablator is a Service that enables you to roll out functionalities at your own pace, and perform good A/B testing.
Python
Updated Dec 15, 2018
A Machine Learning Approach of Thayers Emotional Model to Plot a 2D Cartesian and Polar Planes using x-axis as Valenc…
Python
Updated Mar 28, 2018
A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.
C
Updated Mar 17, 2019
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
C++
Updated Feb 4, 2019
scikit-learn compatible implementation of stability selection.
Python
Updated Mar 16, 2019
Feature Selection using Genetic Algorithm (DEAP Framework)
Python
Updated Feb 18, 2019
A set of metrics for feature selection from text data
Python
Updated Oct 25, 2018
Efficient Algorithms for L0 Regularized Learning
C++
Updated Jan 2, 2019
Python3 binding to mRMR Feature Selection algorithm
C++
Updated Mar 19, 2019
Search the best feature subset for you classification mode
Python
Updated May 24, 2018
Python utilities for Machine Learning competitions
Python
Updated Oct 23, 2017
Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix …
Relief Based Algorithms of ReBATE implemented in Python with Cython optimization.
Python
Updated May 22, 2018
Linear Regression Model with Automatic Feature Engineering and Selection Capabilities
Python
Updated Jan 23, 2019
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Jupyter Notebook
Updated May 11, 2017
Migrated to NotABug
R
Updated Apr 23, 2018
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Jupyter Notebook
Updated Dec 15, 2018
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
Python
Updated Mar 12, 2019
A package to integrate rollout into your Laravel project.
PHP
Updated Jan 14, 2019
