ensemble-model

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Snapshot Ensemble in Keras

Open solution to the Toxic Comment Classification Challenge

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

💪 🤔 Modern Super Learning with Machine Learning Pipelines

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Open solution to the Santander Value Prediction Challenge 🐠

A Python toolbox for quick implementing and deploying ensemble imbalanced learning algorithms. | 在类别不平衡/长尾分布数据上快速部署集成学习算法

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

Use machine learning models to detect lies based solely on acoustic speech information

This repository contains supervised fake news detection on LIAR dataset. Check out the analysis details for more details.

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

Ensemble stacking using Keras / Tensorflow. Used LSTM RNN, Logistic Regression & XGB Classifier for first level, and simple CNN for metalearning.

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.

The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020

Statoil/C-CORE Iceberg Classifier Challenge's codes

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

Multiple Model Ensembling

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

Repository for studies on data visualization in weather/climate science

Graduation Project - Sentiment Mining

Soccer fixtures prediction model. Uses ensemble of different machine learning models to increase prediction accuracy.

Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.

Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program

Code for "Inner Ensemble Nets"

Feature selection method based on repeated elastic net.

Official repository for Project-Fidget code base.