Popular GitHub Repositories for Bagging

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Building Decision Trees From Scratch In Python

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

Ensemble Learning for Apache Spark ?

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.

Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.

Analysed syntax and Semantics of Corpus of Text Documents Retrieved from Web Scraping of News articles from Inshorts and followed the Standard NLP Workflow of the CRISP-DM model.

A credit card fraud detection kernel

machine learning scala

AI 小项目代码、笔记

Goal is to classify the patients into the respective labels ( Healthy/ Parkinson) using the attributes from their voice recordings

Templated boilerplate for experiments in Active and Ensemble Learning.

This is where I'll post my machine learning templates that I've created

Classification and Regression problems

Kernels for machine learning problems

专为可复现的研究、实时洞察和轻松部署而设计。

This library proposes a plug-in approach to active learning utilizing bagging techniques. Bagging, or bootstrap aggregating, is an ensemble learning method designed to improve the stability and accuracy of machine learning algorithms.