bagging | Topic | Ecosyste.ms: Repos

Topic: "bagging"

TorchEnsemble-Community/Ensemble-Pytorch

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

Language: Python - Size: 1.56 MB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 1,022 - Forks: 95

vecxoz/vecstack

Python package for stacking (machine learning technique)

Language: Python - Size: 536 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 684 - Forks: 83

a-martyn/ISL-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Language: Jupyter Notebook - Size: 64.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 286 - Forks: 114

mlr-org/mlr3pipelines

Dataflow Programming for Machine Learning in R

Language: R - Size: 22.5 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 142 - Forks: 26

damianhorna/multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Language: Python - Size: 66 MB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 77 - Forks: 11

serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

Language: Jupyter Notebook - Size: 371 KB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 66 - Forks: 51

sharmaroshan/Drugs-Recommendation-using-Reviews

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

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 60 - Forks: 31

nursnaaz/25DaysInMachineLearning

I will update this repository to learn Machine learning with python with statistics content and materials

Language: Jupyter Notebook - Size: 293 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 66

AaronWard/PU-learning-example

An example repo for how PU Bagging and TSA works.

Language: Python - Size: 97.7 KB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 32 - Forks: 15

SudhakarKuma/Machine_Learning

A repository of resources for understanding the concepts of machine learning/deep learning.

Language: Jupyter Notebook - Size: 615 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 26

anishsingh20/Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Language: R - Size: 3.26 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 24

pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

Language: Scala - Size: 3.61 MB - Last synced at: 12 days ago - Pushed at: 8 months ago - Stars: 23 - Forks: 7

frankkramer-lab/ensmic

An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks

Language: Python - Size: 2.97 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 2

ysh329/awesome-deep-learning-finetune-experience

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.

Size: 11.7 KB - Last synced at: 16 days ago - Pushed at: over 7 years ago - Stars: 16 - Forks: 8

wslc1314/TextSentimentClassification

TextSentimentClassification, using tensorflow.

Language: Python - Size: 4.89 MB - Last synced at: 3 days ago - Pushed at: almost 7 years ago - Stars: 15 - Forks: 13

rafaelvareto/HPLS-HFCN-openset

Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)

Language: Python - Size: 5.6 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 5

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 10

sayaliwangane/INTELLIGENT-CAREER-GUIDANCE-SYSTEM

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

Language: PHP - Size: 6.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 8

zpysky1125/Ensembling

Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting

Language: Python - Size: 85.9 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 4

sun1638650145/classicML

简单易用的经典机器学习框架

Language: Python - Size: 737 KB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 2

UnixJunkie/orf

OCaml Random Forests

Language: OCaml - Size: 1.11 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

vikasgupta1812/Machine_Learning Fork of danny314/machine_learning

Predictive Machine Learning projects

Language: HTML - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 11

gulabpatel/Machine-Learning

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 2

sharmaroshan/Don-t-Overfit

It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 7

Gurudev333/Loan_Prediction_by_ensemble_machine_learning_techniques

Used ensemble methods such as boosting, voting, Bagging

Language: Jupyter Notebook - Size: 169 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

sahirnoorali/poker-hand-analysis

Analysis and Prediction of Poker Hand Strength

Language: Python - Size: 849 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 4

hmgomes/StreamingRandomPatches

Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04

Language: Java - Size: 71.1 MB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 1

arunvignesh15/Machine-Learning

Learn and Explore

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

anubhavshrimal/Quick-Draw

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

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 4

ravitejaCR7/Machine-Learning

Language: Python - Size: 186 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1

okozelsk/EasyML

An easy-to-use independent machine learning library for .net. It offers MLP models (including deep RVFL aka ELM) for common ML tasks as well as Reservoir Computer for efficiently solving ML tasks on time series data.

Language: C# - Size: 5.47 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 4 - Forks: 0

thieu1995/mealpy-text-classification

Text classification with Machine Learning and Mealpy

Language: Python - Size: 1.66 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

geehaad/ML-Master-Projects

Couple of ML projects implemented during my master journy

Language: Jupyter Notebook - Size: 16 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

XavierCarrera/Tutorial-Machine-Learning-Arboles

Los árboles de decisión son uno de los algoritmos clásicos de machine learning ya que nos ayudan a visualizar las predicciones hechas por nuestro modelo. En este tutorial vemos su uso para regresiones lineares y clasificación, así como herramientas de ensamble como bagging y boosting.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 4

codekhal/Inshorts-NLP

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.

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

carpentries-incubator/machine-learning-trees-python

Introduction to tree models with Python

Language: Python - Size: 7.19 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 7

caldi99/Learning-From-Network-Project

Language: Python - Size: 8.96 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

UnixJunkie/orrandomForest

OCaml wrapper to the R randomForest package

Language: OCaml - Size: 374 KB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

prashanthm07/Twitter_Sentiment_Analysis-Using-ML-and-NLP

The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 3

sahith/MachineLearning

MachineLearning

Language: Python - Size: 7.15 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

derzu/RotationForest

Implementation of the Rotation Forest Algorithm from paper from Kuncheva and Rodríguez, 2016.

Language: Matlab - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 2

BraulioV/Machine-Learning

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

Language: R - Size: 3.69 MB - Last synced at: 8 days ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 0

danielegiulianini/inbestment-portfolio

A web-based and machine-learning fostered prototype tool to find your best financial investment portfolio

Language: Python - Size: 1.39 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

hossamAhmedSalah/Machine_Learning_MSP

MSP 23 workshop of machine learning

Language: Jupyter Notebook - Size: 84.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

ohmthanap/Churn-Predictions-Telecom-Customer

Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tuning using Grid Search CV and Randomized Search CV.

Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Gaurav0502/retina-multilabel-classification

Retina Disease Detection using Ensemble methods for Multilabel Classification

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

Rajani1-tech/Heart-Disease-Prediction

Examine each feature in the dataset & how they relate to one another. Main aim is to determine whether a person is likely to experience a Savior cardiac problem or not.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Rajani1-tech/Machine-Learning

Here! I have clearly outlined the machine learning techniques and executed projects that illustrate how those algorithms operate on real-world projects.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

harshwalia36/Early-Prediction-of-Mortality-Risk-among-Covid-19-Patients

Early prediction of Mortality Risk among Covid -19 Patients in early stages when patients gets admitted into the hospital.

Language: Jupyter Notebook - Size: 8.61 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

sawadogosalif/Machine_Learning_Journey

Language: R - Size: 1.27 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

iamkirankumaryadav/SMS-Classification

Natural Language Processing

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Arminkhayati/Machine_learning_lec

My Machine Learning course projects

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

jvirico/scania-truck-failure-prediction

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

StringsLi/ml_scratch_scala

machine learning scala

Language: Scala - Size: 371 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

arijitiiest/Malaria-Detection

Malaria Detection Project on Malaria Cells

Language: Jupyter Notebook - Size: 738 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 4

RachanaJayaram/House-Votes-Classifier

Implementing a naive bayes classifier from scratch with k-fold validation and randomized boosting to classify house votes data .

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

AlexisDrch/Machine-Learning

Performance analysis of Decisions Trees, Boosting & Bagging, KNN, Neural Network and Linear Regression algorithms. Over two Data Sets (meant-to-be) very different in nature and volume.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

nikita620/Phishing-Website-Detection-by-Machine-Learning-Techniques

Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.

Language: Jupyter Notebook - Size: 9.2 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kmock930/Drug-Consumption-Machine-Learning-analysis

This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).

Language: Jupyter Notebook - Size: 105 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

rahulvictor12/German-Bank-Loan-Defaulter-Prediction

A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0