bagging-ensemble

There are 1 repository under bagging-ensemble topic.

Anello92 / Machine_Learning_Python
Top Machine Learning Algorithms Detailed in Python and Preprocessing for Machine Learning
adaboost algorithm bagging-ensemble classification ensemble-machine-learning extremely-randomized-trees knn machine-learning naive-bayes preprocessing python random-forest regression tree
Language:Jupyter Notebook 15
alifrmf / Mobile-Price-Prediction-Classification-Analysis
Supervised Machine Learning Analysis Using Classification Models
adaboost bagging-ensemble boosting-ensemble classification data-science decision-trees ensemble-learning exploratory-data-analysis gradient-boosting hyperparameter-optimization machine-learning-algorithms mobile-price-prediction preprocessing pruning-optimization python random-forest supervised-learning svm voting-classifier xgboost
Language:Jupyter Notebook 13
jddeguia / bagging-lstm
Implementation of bagging-based ensemble for solar irradiance prediction. Base learners used in ensemble learning is stacked-LSTM
bagging-ensemble python lstm pca forecasting smart-grid solar
Language:Jupyter Notebook 11
somjit101 / Facebook-Friend-Recommendation
This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.
bagging-ensemble boosting-ensemble cross-validation decision-tree-classifier decision-trees facebook-friend-recommendation gradient-boosting graph graph-algorithms graph-similarity graph-theory machine-learning randomizedsearchcv social-network social-network-analysis xgboost
Language:Jupyter Notebook 9
bupt-ai-cz / BreastCancerCNN
https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
breast-cancer-classification histopathology-images deep-neural-networks cnn bagging-ensemble model-compression breakhist-dataset
Language:Jupyter Notebook 8
rochitasundar / Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
decision-tree-classifier bagging-ensemble random-forest-classifier gradient-boosting-classifier adaboostclassifier xgboost-classifier stacking-ensemble grid-search-hyperparameters grid-search-cross-validation accuracy-metrics precision-recall f1-score
Language:Jupyter Notebook 7
a3X3k / Spam-Email-Detection
machine-learning python spam-classification machinelearning knn-classifier logistic-regression svm-classifier decision-tree-classifier random-forest-classifier naive-bayes-classifier gradient-boosting extratreesclassifier xgboost-algorithm bagging-ensemble adaboostclassifier knn-classification knn-model svm-kernel svm-model randomforestclassifier
5
itsmethahseer / clustering-and-Ensemble-techniques
Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.
bagging-ensemble boosting-algorithms clustering machine-learning modelbuilding pandas python3 scikit-learn
Language:Jupyter Notebook 5
QuyAnh2005 / homemade-machine-learning
Understand and code some basic algorithms in machine learning from scratch
algorithms bagging-ensemble boosting-ensemble decision-tree gradient-boosting implementation-from-scratch k-means-clustering linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes pca python random-forest random-forest-algorithm scikit-learn support-vector-machine theory
Language:Jupyter Notebook 5
Erdos1729 / text-classification-ml
Application of various text classification algorithms on multiple datasets.
text-classification machine-learning-algorithms machine-learning linearsvc random-forest knn-classification gradient-boosting bagging-ensemble decision-tree rocchio-algorithm nearest-centroid regex text-processing regular-expression jupyter-notebook seaborn-plots
Language:Jupyter Notebook 4
prneidhardt / Ensemble-Learning
EasyVisa Project
bagging-ensemble boosting-ensemble stacking-ensemble
Language:Jupyter Notebook 4
shubhamsawant0601 / Machine_Learning
Repository of explaination and python codes with Scikit-Learn for different ML algorithms.
machine-learning machine-learning-algorithms cart clustering bagging-ensemble boosting-ensemble hyperparameter-optimization knn naive-bayes svm xgboost random-forest adaboost
Language:Jupyter Notebook 4
Abdulrahmankhaled11 / Stroke-Prediction-Ensemble-Learning-For-Beginners
Machine Learning Application In The Medical Field Used for predicting the occurrence of stroke for the patients depends on the patient information
ai bagging-ensemble classification data-science data-science-projects encoding ensemble-learning machine-learning medical-learning random-forest sklearn stacking-ensemble voting-ensemble data-preprcessing
Language:Jupyter Notebook 3
Ayda-Darvishan / Tuning-ML-Classifiers
The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development for productionizing the final model.
supervised-learning tuning-parameters random-forest bagging-ensemble boosting-ensemble gradient-boosting adaboost xgboost cross-validation pipeline oversampling undersampling exploratory-data-analysis randomizedsearchcv gridsearchcv
Language:Jupyter Notebook 3
daiphuongngo / Banking-Dataset-Imbalanced-Learn-Comparison
Banking-Dataset-Marketing-Targets
machine-learning classification keras deep-learning scikit-learn deep-neural-networks decision-tree random-forest balanced-random-forest bagging-ensemble balancedbaggingclassifier rusboost xgboost easyensembleclassifier tensorflow
Language:Jupyter Notebook 3
MoinDalvs / Assignment_Random_Forest_1
Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"
bagging-ensemble bagging-trees data-science random-forest-classifier hyperparameter-tuning
Language:Jupyter Notebook 3
Pythondeveloper6 / Ensemble-learning-beginner-guide
machine learning ensemble learning types in easy steps with examples
bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier
Language:Jupyter Notebook 3
AdiShirsath / Machine_learning_projects
Projects on Classification and Regression
classification regression exploratory-data-analysis feature-engineering feature-selection linear-models bagging-ensemble boosting-algorithms
Language:Jupyter Notebook 2
Aysenuryilmazz / hr_analytics_ML
ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/
boosting-algorithms extratreesclassifier randomforestclassifier lightgbm xgboost adaboost catboost gradient-boosting t-test bagging-ensemble bootstrapping decision-trees naive-bayes-classifier knn logit
Language:Jupyter Notebook 2
ligerfotis / CSE6363_Machine_Learning
Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21
gaussian-naive-bayes-classification knn-classification poisson-regression perceptron-learning-algorithm neural-network-from-scratch support-vector-machines clustering dendrogram logistic-regression-algorithm linear-regression-scratch logistic-regression-scratch ensemble-learning boosting-ensemble bagging-ensemble decision-trees
Language:Python 2
SimranS22 / Heart-Disease-Prediction-Model-SurTech
A ML application(deployed on flask) to detect heart disease in patients based on medical features.
data-analysis data-visualization decision-tree-classifier github-codespaces jupyter-notebook knn-classifier logistic-regression machine-learning naive-bayes-classifier python random-forest-classifier svm-classifier adaboost-classifier bagging-ensemble ensemble-learning xgboost-classifier
Language:Jupyter Notebook 2
tex216 / ML-Strategy-Design-for-Stock-Investment
Developed a ML assisted stock trading strategy to long or short a stock by training a random forest learner (random tree with bagging), details see the Final-Project-Report.
bagging-ensemble decision-trees machine-learning numpy pandas random-forest random-trees
Language:Python 2
3dot14shreyansh / random_forest_
Brief theoretical description about Random forest and application about the same.
bagging-ensemble decision-trees
Language:Jupyter Notebook 1
AlessandroDiLauro / Machine-Learning-with-Tree-Based-Models-in-Python
Decision trees are supervised learning models used for problems involving classification and regression.
bagging-ensemble data-science machine-learning randomforest
Language:Jupyter Notebook 1
AnveshaM / MachineLearning_models_using_Matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
bagging-ensemble bayesian-optimization decision-trees matlab multiple-linear-regression-model random-forest-regression jupyter-notebook machine-learning numpy python
Language:Jupyter Notebook 1
ChaitanyaGhadling / TwitterSentimentAnalysis
Created a pipeline for sentiment analysis using Tweepy and PySpark
bagging-ensemble machine-learning pyspark tweepy
Language:Jupyter Notebook 1
charanya78 / melanoma-detection
A two-tier convolution neural network hybrid model for malignant melanoma prediction.
abcd bagging-ensemble cnn fusion gradient-boosting logistic-regression melanoma-detection mlp svm two-tier xgboost
Language:Jupyter Notebook 1
Harsha-Vardhan-Tangudu / MACHINE-LEARNING-INTRUSION-DETECTION-SYSTEM
ML project based on intrusion detection system trained dataset
bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm
Language:Jupyter Notebook 1
karthik-d / active-learning-boilerplate
Templated boilerplate for experiments in Active and Ensemble Learning.
active-learning bagging bagging-ensemble boilerplate boosting boosting-ensemble deep-incremental-boosting deep-learning ensemble-learning ensembling keras machine-learning python template tensorflow
Language:Jupyter Notebook 1
maryamsoftdev / All-About-Ensemble-Learning-
learning python day 14
adaboostclassifier bagging-ensemble boosting-ensemble gradientboostingclassifier random-forest-classifier stacking-ensemble
Language:Jupyter Notebook 1
RimTouny / User-Forest-Cover-Type-Prediction
Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).
baseline-performance decisiontreeclassifier eda feature-selection knn logisticregression machine-learning naive-bayes-classifier svm tsne-visualization ensembles-techniques boosting ensemble-learning bagging bagging-ensemble
Language:Jupyter Notebook 1
RISHIKESHAVAN / ensemble-learning
Multi-classification of a cyber-bullying tweets dataset
bagging-ensemble boosting-ensemble classification decision-trees ensemble-learning machine-learning random-forest
Language:Jupyter Notebook 1
shimolina-polina / ensembles
Ensembles of machine learning models
bagging-ensemble boosting-ensemble machine-learning random-forest stacking-ensemble
Language:Jupyter Notebook 1
tien02 / salary-prediction
Predicting developer's salary from Stack Overflow Annual Developer Survey (https://insights.stackoverflow.com/survey)
boosting regression-models bagging-ensemble decision-tree-regression ensemble-machine-learning gradient-boosting gridsearchcv random-forest sklearn-pipeline streamlit-dashboard visualization
Language:Jupyter Notebook 1
VivekSagarSingh / Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
ada-boost-classifier bagging-ensemble confusion-matrix gradient-boosting-classifier gridsearchcv heatmap iqr linear-discriminant-analysis-classifier logistic-regression multicollinearity numpy pandas-python precision-recall random-forest-classifier roc-auc-curve smote statsmodels variance-inflation-factor
Language:Jupyter Notebook 1
ZeeshanKhalid2k01 / Bagging
Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance
bagging bagging-classifier bagging-ensemble bagging-regressor bagging-trees baggingalgorithms
Language:Jupyter Notebook 1

bagging-ensemble

Anello92 / Machine_Learning_Python

alifrmf / Mobile-Price-Prediction-Classification-Analysis

jddeguia / bagging-lstm

somjit101 / Facebook-Friend-Recommendation

bupt-ai-cz / BreastCancerCNN

rochitasundar / Customer-profiling-using-ML-EasyVisa

a3X3k / Spam-Email-Detection

itsmethahseer / clustering-and-Ensemble-techniques

QuyAnh2005 / homemade-machine-learning

Erdos1729 / text-classification-ml

prneidhardt / Ensemble-Learning

shubhamsawant0601 / Machine_Learning

Abdulrahmankhaled11 / Stroke-Prediction-Ensemble-Learning-For-Beginners

Ayda-Darvishan / Tuning-ML-Classifiers

daiphuongngo / Banking-Dataset-Imbalanced-Learn-Comparison

MoinDalvs / Assignment_Random_Forest_1

Pythondeveloper6 / Ensemble-learning-beginner-guide

AdiShirsath / Machine_learning_projects

Aysenuryilmazz / hr_analytics_ML

ligerfotis / CSE6363_Machine_Learning

SimranS22 / Heart-Disease-Prediction-Model-SurTech

tex216 / ML-Strategy-Design-for-Stock-Investment

3dot14shreyansh / random_forest_

AlessandroDiLauro / Machine-Learning-with-Tree-Based-Models-in-Python

AnveshaM / MachineLearning_models_using_Matlab

ChaitanyaGhadling / TwitterSentimentAnalysis

charanya78 / melanoma-detection

Harsha-Vardhan-Tangudu / MACHINE-LEARNING-INTRUSION-DETECTION-SYSTEM

karthik-d / active-learning-boilerplate

maryamsoftdev / All-About-Ensemble-Learning-

RimTouny / User-Forest-Cover-Type-Prediction

RISHIKESHAVAN / ensemble-learning

shimolina-polina / ensembles

tien02 / salary-prediction

VivekSagarSingh / Probability-of-Credit-card-Default

ZeeshanKhalid2k01 / Bagging