Machine Learning in R
-
Updated
Aug 18, 2020 - R
{{ message }}
Machine Learning in R
MLBox is a powerful Automated Machine Learning python library.
A Julia machine learning framework
ML-Ensemble – high performance ensemble learning
Python package for stacking (machine learning technique)
A set of useful tools for competitive data science.
A jQuery plugin that creates a stacking effect by sticking panels as they reach the top of the viewport.
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Stacked Generalization (Ensemble Learning)
State-of-the art Automated Machine Learning python library for Tabular Data
[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
Dataflow Programming for Machine Learning in R
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
advanced dynamic window manager
Time-scale phase-weighted stack software for seismic signal denoising
In depth machine learning resources
TextSentimentClassification, using tensorflow.
6th Place Solution for SMP CUP 2017(Three Prize)
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
Add a description, image, and links to the stacking topic page so that developers can more easily learn about it.
To associate your repository with the stacking topic, visit your repo's landing page and select "manage topics."