yzhao062/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
This resource helps machine learning practitioners and data scientists enhance the predictive power of their models. It provides curated lists of books, academic papers, online courses, videos, and software toolboxes focused on 'ensemble learning'. The output is a deeper understanding of ensemble methods and access to practical tools, enabling users to build more robust and accurate predictive models for various real-world problems.
308 stars. No commits in the last 6 months.
Use this if you are a data scientist, machine learning engineer, or researcher looking to improve the accuracy and reliability of your predictive models by leveraging advanced ensemble techniques.
Not ideal if you are looking for a pre-built, ready-to-deploy ensemble model for a specific business problem without needing to understand the underlying theory or explore different approaches.
Stars
308
Forks
55
Language
Python
License
MIT
Category
Last pushed
Oct 18, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yzhao062/awesome-ensemble-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
iamDecode/sklearn-pmml-model
A library to parse and convert PMML models into Scikit-learn estimators.
vecxoz/vecstack
Python package for stacking (machine learning technique)
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
flennerhag/mlens
ML-Ensemble – high performance ensemble learning
aws-samples/aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods