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GitHub topics: bagging-classifier

Param-Sahu/Exit_Poll_and_Vote_Prediction_Model

The objective is to analyze voter behavior based on demographic and opinion-based variables and build a classification model that can predict which party a voter will vote for. This model is used to simulate an exit poll.

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Szymon-Czuszek/Machine-Learning-Algorithms

In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.

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CamilaJaviera91/bagging-with-kaggle

Code in which an initial approach to decision trees and bagging will be made, and an attempt will be made to ensure that the model can be trained with any dataset coming from Kaggle (for this, we will again use the 'connect with Kaggle' project).

Language: Python - Size: 523 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Relostar-Devil/Bio-Signal-Analysis-for-Smoking

Unlocking Insights into Smoking with Bio-Signals: Journey through health data to predict smoking habits. Employing machine learning and feature selection to identify smokers.

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ozturkfemre/classification

R | Classification Project

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sarahloree/Project-3--Credit-Card-User-Churn-Prediction

This is the third project I completed as part of the Advanced Machine Learning module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

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rjlovespy/Astro-Entity-Classifier

A Tkinter based ML tool that classifies astronomical entities as Galaxy, Star, and Quasar

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djdhairya/Crop-Recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

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vignesh4005/Crowdfunding_Campaign_Success_Prediction

This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).

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spamfromaditya/Drugs-Consumption-Prediction-Model-EDA-Bagging-Classifier

Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.

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AmbreenMahhoor/Bagging-Ensemble

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prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

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Keerthiga-Sekar/-Predicting-Employees-Preferred-Mode-of-Transport-

Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.

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hugohiraoka/Travel_Package_Purchase_Prediction

Model to Predict if a customer will purchase a Travel Package

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SophiaRazzaq/Landslide-Insights-and-Prediction

Machine Learning

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ArchismwanChatterjee/Parkinson_Detection

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rociobenitez/BiomechanicalRiskPrediction

Predictive Analysis for Musculoskeletal Injury Risk using Machine Learning and Flask

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meAnubhav/Heart_Disease_Prediction_by_Machine_Learning

A machine learning application, deployed using Flask, is designed to identify the presence of heart disease in patients by analyzing various medical features.

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ShababAhmedd/CSE437_DataScience

Language: Python - Size: 13 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vicaaa12/advanced-machine-learning

Advanced Machine Learning

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Ashwin0229/Tree-Classifiers

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers

Language: Python - Size: 167 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sarthak-10/Bagging-Classifier-from-scratch

The project contains an implementation of Bagging Classifier from scratch without the use of any inbuilt libraries.

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niveditha093/VisaApproval

Visa approval process by leveraging machine learning on OFLC's extensive dataset, aiming to recommend suitable candidate profiles for certification or denial based on crucial drivers.

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Yalda-amadeh/Shatel-dataset

Some process on Shatel dataset.

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Atif255/Titanic-Survival-Prediction

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nielsxklesper/Machine_Learning_Challenge

Our group project aimed to evaluate three predictive machine learning classification models to anticipate whether website visitors engage in transactions. This is done by analysing different attributes of website visitors including duration spent on different web pages, click rates, and bounce rates.

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GyanPrakashkushwaha/Customer-Churn-Prediction

Customer Churn Prediction using Machine Learning and Deep learning. With Integration of MLFlow

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vasatodorovic/ToxicityOfMolecules

Project on course "Data Mining 2"

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

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lucoliv23/KC-Roasters-Classification-

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RawatMeghna/Flight-Booking-Price-Prediction

The project is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets.

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amondalgit/DMML23-assignments

Data Mining Machine Learning | Assignments | JAN-APR 2023 | CMI

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DWalicki95/Titanic_case_study-alghoritms-comparison-

Titanic survivors binary classification

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ZeeshanKhalid2k01/Bagging

Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance

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LALA09-erha/Streamlit---WebPrediksiKNN

Website Prediksi Penyakit jantung dengan 5 fitur menggunakan metode KNN,bagging classifier,random forest

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anandanraju/Eligibility_Validation_Report_Model_for_Borrowing_Money_From_Bank

In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.

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anandanraju/Titanic_Survival_Prediction_Model

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

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sean-atkinson/supervised_learning_models

Playing around with a variety of classification and regression models.

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Related Keywords
bagging-classifier 38 random-forest-classifier 16 decision-tree-classifier 11 random-forest 9 machine-learning 9 logistic-regression 9 python 8 xgboost-classifier 7 gradient-boosting-classifier 7 exploratory-data-analysis 6 pandas 5 decision-trees 5 hyperparameter-tuning 5 ensemble-learning 4 numpy 4 matplotlib 4 naive-bayes-classifier 4 support-vector-machines 4 bagging-ensemble 4 adaboostclassifier 4 boosting-ensemble 4 linear-regression 4 sklearn 4 python3 4 eda 3 classification-algorithm 3 adaboost-classifier 3 extra-tree-classifiers 3 scikit-learn 3 knn-classification 3 feature-selection 3 ada-boost-classifier 3 bagging-regressor 3 gradient-boosting 3 svm-classifier 2 seaborn 2 boosting-algorithms 2 confusion-matrix 2 data-preprocessing 2 extra-trees-classifier 2 gaussian-naive-bayes 2 outlier-detection 2 classification-models 2 svm 2 jupyter-notebook 2 k-nearest-neighbor-classifier 2 datapreprocessing 2 boosting-classifier 2 decision-tree-regression 2 bagging 2 statistics 2 bagging-trees 2 sklearn-library 2 roc-curve 2 kaggle-dataset 2 support-vector-classifier 2 linear-discriminant-analysis 2 data-analysis 1 adaboost-regressor 1 scratch-implementation 1 bootstrap-aggregation 1 train-test-using-sklearn 1 randomizedsearchcv 1 gridsearchcv 1 undersampling-technique 1 feature-engineering 1 titanic-survival-prediction 1 pattern-recognition 1 stacking-ensemble 1 statistical-analysis 1 binary-classification 1 modelevaluation 1 variance-threshold 1 datacamp-course 1 datacamp-solutions-python 1 gradient-descent 1 support-vector-regressor 1 regression-tree 1 regression-models 1 random-forest-regressor 1 correlation-matrix 1 knn-regressor 1 knn-classifier 1 feature-importance 1 gradientboostinclassifier 1 missing-value-imputation 1 model-comparison 1 model-performance-comparison 1 f1-score 1 oversampling-technique 1 randomforest-classification 1 randomsearchcv 1 bernoulli-naive-bayes 1 count-vectorizer 1 embeddings 1 heart 1 dataset 1 baggingclassifier 1 baggingalgorithms 1 multinomial-naive-bayes 1