Machine Learning in R
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Updated
Oct 5, 2021 - R
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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)
LAMA - automatic model creation framework
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.
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
Stacked Generalization (Ensemble Learning)
State-of-the art Automated Machine Learning python library for Tabular Data
Dataflow Programming for Machine Learning in R
[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
Time Series Ensemble Forecasting
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
advanced dynamic window manager
In depth machine learning resources
CSS layout components that (basically) horizontally and vertically stack anything.
Time-scale phase-weighted stack software for seismic signal denoising
Astrophotography Stacking Application
This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
6th Place Solution for SMP CUP 2017(Three Prize)
TextSentimentClassification, using tensorflow.
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."
This is a bit of a nit, but I've found myself a few times now selecting the balance on an address page and copying it to my clipboard only to see it pasted on several lines, apparently since the various parts of the balance are rendered in separate HTML tags.
It'd be handy to have the entire selection copied to one line so they're easier to paste elsewhere.
![image](https://user-images.githu