vecxoz / vecstack

Python package for stacking (machine learning technique)

machine-learning ensemble ensemble-learning stacking bagging blending stacked-generalization explain-stacking stacking-tutorial ensembling

Updated Sep 14, 2020
Python

a-martyn / ISL-python

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

bootstrap machine-learning random-forest linear-regression statistical-learning supervised-learning pca logistic-regression boosting-algorithms lda islr bagging

Updated Jul 12, 2019
Jupyter Notebook

mlr-org / mlr3pipelines

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Dataflow Programming for Machine Learning in R

machine-learning r pipelines ensemble-learning dataflow-programming preprocessing stacking bagging mlr3

Updated Nov 3, 2020
R

nursnaaz / 25DaysInMachineLearning

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

python data-science machine-learning statistics random-forest numpy linear-regression machine-learning-algorithms python3 logistic-regression machinelearning modelling data-preprocessing practise decision-tree descriptive-statistics bias covariance bagging machinelearning-python

Updated Dec 30, 2019
Jupyter Notebook

serengil / decision-trees-for-ml

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Building Decision Trees From Scratch In Python

machine-learning random-forest xgboost id3 gbm lightgbm gradient-boosting-machine cart adaboost c45 decision-tree gradient-boosting boosting bagging regression-trees

Updated Nov 3, 2019
Jupyter Notebook

sharmaroshan / Drugs-Recommendation-using-Reviews

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

machine-learning data-mining deep-learning data-visualization feature-selection recommendation-system data-analysis boosting-algorithms feature-engineering data-cleaning hybrid-model bagging

Updated Apr 29, 2020
Jupyter Notebook

damian-horna / multi-imbalance

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

python machine-learning decomposition balancing resampling preprocessing decision-trees class-imbalance ensembles python-package smote oversampling bagging undersampling multi-class-imbalance

Updated Aug 14, 2020
Python

SudhakarKuma / Machine_Learning

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

machine-learning clustering dimensionality-reduction preprocessing imbalanced-data smote boosting f1-score supervised-machine-learning unsupervised-machine-learning bagging knn-classification summer-school iiith seaborn-plots datacamp-projects datacamp-machine-learning critical-concepts

Updated Oct 31, 2020
Jupyter Notebook

anishsingh20 / Statistical-Learning-using-R

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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.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

wslc1314 / TextSentimentClassification

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TextSentimentClassification, using tensorflow.

tensorflow hierarchical-attention-networks stacking rcnn bagging textcnn textrnn crnn textclassification

Updated Apr 24, 2018
Python

pierrenodet / spark-ensemble

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Open

[Global] PySpark Bindings

2

pierrenodet opened Feb 16, 2019

good first issue help wanted

rafaelvareto / HPLS-HFCN-openset

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

machine-learning paper svm hash-functions face-recognition pls open-set bagging

Updated Oct 8, 2019
Python

ntrang086 / ml_trading_assess_learners

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machine learning trading algorithms: implement and compare decision tree learner, a random tree learner, and a bootstrap aggregating learner

machine-learning numpy regression pandas trading-algorithms decision-trees bagging random-tree boostrap-aggregating

Updated Apr 26, 2018
Jupyter Notebook

zpysky1125 / Ensembling

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

ensemble-learning boosting-algorithms bagging

Updated Jan 9, 2018
Python

ysh329 / awesome-deep-learning-finetune-experience

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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.

practice deep-learning kaggle-competition ensemble-learning experience stacking fine-tuning-cnns boosting bagging finetune fine-tuning

Updated Oct 29, 2017

sergii1989 / FastMLFramework

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

machine-learning pipeline cross-validation regression feature-selection luigi xgboost hyperparameter-optimization classification lightgbm feature-engineering stacking auto-ml bagging blending

Updated Mar 31, 2019
Python

AaronWard / PU-learning-example

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An example repo for how PU Bagging and TSA works.

machine-learning random-forest semi-supervised-learning ensemble labelling weakly-supervised-learning bagging ensemble-machine-learning positive-unlabeled-learning bagging-trees pulearning unreliable-labels

Updated Feb 21, 2020
Python

sharmaroshan / Don-t-Overfit

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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.

machine-learning linear-regression lasso logistic-regression linear-models competitive-programming-contests stacking pystan bagging overfitting shuffle-split

Updated May 11, 2019
Jupyter Notebook

arunvignesh15 / Machine-Learning

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Learn and Explore

machine-learning random-forest cross-validation regression xgboost classification svm-classifier tpot smote bagging knn-classification imbalanced-learning gridsearchcv

Updated Aug 6, 2019
Jupyter Notebook

sahirnoorali / poker-hand-analysis

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Analysis and Prediction of Poker Hand Strength

python machine-learning deep-learning analysis random-forest scikit-learn prediction naive-bayes-classifier adaboost multi-layer-perceptron decision-tree-classifier svm-classifier bagging poker-hands knn-classifier

Updated Dec 31, 2017
Python

ravitejaCR7 / Machine-Learning

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numpy svm linear-regression scikit-learn pandas python3 naive-bayes-classifier matplotlib gradient-descent decision-trees svm-model kmeans-clustering knearest-neighbor-algorithm stochastic-gradient-descent boosting bagging spectral-clustering numpy-library kmeans-clustering-algorithm

Updated Feb 1, 2019
Python

BraulioV / Machine-Learning

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

machine-learning r svm machine-learning-algorithms ugr regularization perceptron trees knn linear-models aprendizaje-automatico boosting bagging

Updated Mar 24, 2017
R

Gurudev333 / Loan_Prediction_by_ensemble_machine_learning_techniques

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Used ensemble methods such as boosting, voting, Bagging

machine-learning random-forest voting boosting-algorithms bagging ensemble-classifier

Updated Aug 13, 2018
Jupyter Notebook

derzu / RotationForest

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

machine-learning matlab mcs bagging rotation-forest

Updated Apr 1, 2018
MATLAB

krishnapriya-18 / LTFS-Data-Science-FinHack-2

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sales random-forest forecasting hyperparameter-optimization lightgbm hyperparameter-tuning bagging

Updated Jan 30, 2020
Jupyter Notebook

codekhal / Inshorts-NLP

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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.

nlp data-mining sentiment-analysis semantics tokenizer python3 named-entity-recognition webscraping stemming inshorts lemmatization postagging bagging shallow-parsing dependancy-parsing inshorts-nlp

Updated May 23, 2020
Jupyter Notebook

mangipudiprashanth7 / Twitter_Sentiment_Analysis-Using-ML-and-NLP

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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.

machine-learning natural-language-processing sentiment-analysis bagging xgboost-algorithm

Updated Jun 13, 2020
Jupyter Notebook

anubhavshrimal / Quick-Draw

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

computer-vision random-forest pytorch naive-bayes-classifier xgboost svm-classifier classification-algorithims bagging knn-classification quick-draw

Updated Jun 10, 2019
Jupyter Notebook

UnixJunkie / orrandomForest

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OCaml wrapper to the R randomForest package

r random-forest regression ocaml-library classification bagging feature-importance

Updated Nov 26, 2019
OCaml

ArpanSM / Machine_Learning_Hackathons

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Hackathon_Solutions

nlp data-science machine-learning ocr deep-learning hackathon kaggle imputation hackerearth pretrained-models mice h2oai boosting analytics-vidhya-competition bagging cyclic-learning-rate autokeras lr-finder

Updated Jul 26, 2020
Jupyter Notebook

bagging

Here are 114 public repositories matching this topic...

vecxoz / vecstack

a-martyn / ISL-python

mlr-org / mlr3pipelines

nursnaaz / 25DaysInMachineLearning

serengil / decision-trees-for-ml

sharmaroshan / Drugs-Recommendation-using-Reviews

damian-horna / multi-imbalance

SudhakarKuma / Machine_Learning

anishsingh20 / Statistical-Learning-using-R

wslc1314 / TextSentimentClassification

pierrenodet / spark-ensemble

[Global] PySpark Bindings

rafaelvareto / HPLS-HFCN-openset

ntrang086 / ml_trading_assess_learners

zpysky1125 / Ensembling

ysh329 / awesome-deep-learning-finetune-experience

sergii1989 / FastMLFramework

AaronWard / PU-learning-example

sharmaroshan / Don-t-Overfit

arunvignesh15 / Machine-Learning

sahirnoorali / poker-hand-analysis

ravitejaCR7 / Machine-Learning

BraulioV / Machine-Learning

Gurudev333 / Loan_Prediction_by_ensemble_machine_learning_techniques

derzu / RotationForest

krishnapriya-18 / LTFS-Data-Science-FinHack-2

codekhal / Inshorts-NLP

mangipudiprashanth7 / Twitter_Sentiment_Analysis-Using-ML-and-NLP

anubhavshrimal / Quick-Draw

UnixJunkie / orrandomForest

ArpanSM / Machine_Learning_Hackathons

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2019	2020	2021

bagging

Here are 114 public repositories matching this topic...

vecxoz / vecstack

a-martyn / ISL-python

mlr-org / mlr3pipelines

nursnaaz / 25DaysInMachineLearning

serengil / decision-trees-for-ml

sharmaroshan / Drugs-Recommendation-using-Reviews

damian-horna / multi-imbalance

SudhakarKuma / Machine_Learning

anishsingh20 / Statistical-Learning-using-R

wslc1314 / TextSentimentClassification

pierrenodet / spark-ensemble

[Global] PySpark Bindings

rafaelvareto / HPLS-HFCN-openset

ntrang086 / ml_trading_assess_learners

zpysky1125 / Ensembling

ysh329 / awesome-deep-learning-finetune-experience

sergii1989 / FastMLFramework

AaronWard / PU-learning-example

sharmaroshan / Don-t-Overfit

arunvignesh15 / Machine-Learning

sahirnoorali / poker-hand-analysis

ravitejaCR7 / Machine-Learning

BraulioV / Machine-Learning

Gurudev333 / Loan_Prediction_by_ensemble_machine_learning_techniques

derzu / RotationForest

krishnapriya-18 / LTFS-Data-Science-FinHack-2

codekhal / Inshorts-NLP

mangipudiprashanth7 / Twitter_Sentiment_Analysis-Using-ML-and-NLP

anubhavshrimal / Quick-Draw

UnixJunkie / orrandomForest

ArpanSM / Machine_Learning_Hackathons

Improve this page

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