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URL: https://github.com/topics/adaboostclassifier

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adaboostclassifier

Here are 145 public repositories matching this topic...

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 candidate…

decision-tree-classifier gradient-boosting-classifier f1-score random-forest-classifier grid-search-hyperparameters precision-recall accuracy-metrics xgboost-classifier stacking-ensemble adaboostclassifier bagging-ensemble grid-search-cross-validation

Updated
Jupyter Notebook

Athiban-32 / twitter-sentiment-analysis

Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter

nlp machine-learning natural-language-processing text-mining twitter text-classification naive-bayes-classifier perceptron twitter-sentiment-analysis vader-sentiment-analysis textblob vader passiveaggressiveclassifier adaboostclassifier

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Jupyter Notebook

syeda434am / Suicide-Ideation-Detection

This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.

nlp random-forest exploratory-data-analysis lstm gru naive-bayes-classifier ensemble-learning logistic-regression text-processing dataset-generation gradient-boosting-classifier bert svm-classifier lstm-cnn adaboostclassifier

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Jupyter Notebook

a3X3k / Spam-Email-Detection

python machine-learning naive-bayes-classifier logistic-regression machinelearning svm-model decision-tree-classifier spam-classification svm-classifier gradient-boosting knn-classification xgboost-algorithm random-forest-classifier knn-model knn-classifier svm-kernel adaboostclassifier randomforestclassifier bagging-ensemble extratreesclassifier

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FaezehAbedi2023 / Optimizing-Credit-Card-Fraud-Detection-in-Banking-with-Ensemble-Learning-Techniques

This research advances credit card fraud detection by integrating machine learning and deep learning techniques. Key findings include improved model adaptability through hyperparameter tuning.

python deep-learning linear-regression machine-learning-algorithms data-visualization naive-bayes-classifier supervised-learning hyperparameter-tuning decision-tree-classifier svm-classifier lstm-neural-networks random-forest-classifier datacleaning cnn-classification adaboostclassifier smote-algorithm

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luuisotorres / Credit-Card-Fraud-Detection

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

python data-science machine-learning scikit-learn sklearn machine-learning-algorithms pandas data-visualization feature-engineering decision-tree-classifier gradient-boosting-classifier classification-algorithm gradientboostinclassifier random-forest-classifier ada-boost-classifier classification-model credit-card-fraud-detection adaboost-algorithm adaboostclassifier

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Jupyter Notebook

Aashishh1 / Project-Compozent

🚀 Predicting diabetes risk in females with AdaBoost Classifier! 💻✨

machinelearning adaboostclassifier diabetesprediction healthcareai

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Jupyter Notebook

brian-kipkoech-tanui / binaryclassification

Classification

random-forest svm ensemble-model gradient-boosting-classifier classification-algorithm voting-classifier xgboost-classifier adaboostclassifier

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Jupyter Notebook

sorna-fast / fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

numpy pandas-dataframe eda imblearn sklearn-library matplotlib-pyplot seaborn-plots plotly-express xgbclassifier adaboostclassifier randomforestclassifier streamlit-webapp pickle-file lgbmclassifier gradientboostingclassifier scipy-stats

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Jupyter Notebook

muqadasejaz / Student-Depression-Prediction

This project focuses on predicting depression among students using various machine learning models. It explores relationships between key factors like sleep duration, gender, financial stress, work/study hours, and academic pressure with depression. The study leverages EDA and multiple ML algorithms to achieve high prediction accuracy.

random-forest machine-learning-algorithms eda logistic-regression decision-trees gradient-boosting bagging knn-classification depression-analysis depression-detection xgboost-classifier adaboostclassifier student-depression-prediction

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Jupyter Notebook

Abis47 / Chronic_Kidney_Disease_Prediction

I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku

heroku numpy sklearn pandas seaborn logistic-regression matplotlib decision-tree-classifier svm-classifier heroku-deployment random-forest-classifier chronic-kidney-disease adaboostclassifier

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Jupyter Notebook

vinamrata-git / Chess-winner-prediction

Predict the winning probability of white player in a chess game on the basis of first move of white player and first move of black player. In the dataset all the set of moves are given but I choose to predict the white winner the first move

scikit-learn logistic-regression decision-tree-classifier svm-classifier random-forest-classifier knn-classifier catboost-model xgboost-classifier adaboostclassifier auc-score white-player

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Jupyter Notebook

KarthikMurugadoss1804 / Prediction-of-customer-churn

In this project I intend to predict customer churn on bank data.

research exploratory-data-analysis machine-learning-algorithms pandas python3 outlier-detection imbalanced-data kneighborsclassifier logisticregression gaussian-naive-bayes-implementation linearsvc decisiontreeclassifier scaling-methods adaboostclassifier randomforestclassifier

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Jupyter Notebook

paocarvajal1912 / VIXM-Algorithmic-Strategy

An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

python machine-learning jupyterlab adaboost jupyter-notebooks modular-design supervised-machine-learning vix algoritmic-trading adaboost-algorithm adaboostclassifier volatility-investing

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Jupyter Notebook

SolomonAmaning / Telecom-Churn-Prediction

This project was conducted to predict recharge delay using regression techniques and customer churn using classification models

correlation neural-network logistic-regression lasso-regression random-forest-classifier adaboostclassifier

Updated
Jupyter Notebook

wq2012 / DecisionForest

Decision Tree and Decision Forest for Matlab/Octave and Python

random-forest adaboost decision-trees decision-tree random-forest-classifier adaboostclassifier

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C++

CyprianFusi / FraudDetectionModel-with-Gretl

With this model: the amount of backlog would be reduced significantly, the amount of staff needed to do the job would be reduced drastically, the processing time would be shortened significantly and more cases of fraudulent transactions would be tracked down in a given amount of data processed - more than 40% increase in efficiency!

logistic-regression backlog imbalanced-data adaboostclassifier cap-curve

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Jupyter Notebook

👁 People_Analytics

rajeski / People_Analytics

Human Resources Employee Turnover Analysis

python numpy sklearn jupyter-notebook pandas seaborn stats logistic-regression matplotlib decision-tree-classifier random-forest-classifier adaboostclassifier

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Jupyter Notebook

AliMufeed / Bank_Loan_term_prediction

Classification Project for SDAIA T5 Data Science Bootcamp. This project will choose the best classification model to predict whether a loan is a short-term loan or a long-term loan, based on some features.

data-science machine-learning naive-bayes-classifier xgboost classification data-analysis logistic-regression pickle decision-tree-classifier stochastic-gradient-descent knn-classification voting-classifier random-forest-classifier adaboostclassifier

Updated
Jupyter Notebook

Sayansurya / Project-on-Class-Imbalance-Problem

machine-learning cnn ensemble class-imbalance undersampling adaboostclassifier hacktoberfest-accepted

Updated
Python

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