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adaboostclassifier

Here are 117 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 Jan 20, 2022
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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

Updated Nov 10, 2023
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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

Updated Oct 11, 2022

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

Updated Aug 7, 2024
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brian-kipkoech-tanui / binaryclassification

Classification

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

Updated Sep 27, 2023
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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

Updated Jun 27, 2022
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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

Updated Jun 24, 2022
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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

Updated Oct 2, 2024
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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 Jun 17, 2023
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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

Updated Aug 16, 2022
Jupyter Notebook

Sayansurya / Project-on-Class-Imbalance-Problem

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

Updated Jun 26, 2020
Python

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 Dec 10, 2021
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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

Updated Sep 6, 2022
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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

Updated Sep 24, 2020
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Candongo-Dev / Machine-Learning_Project-Heart-Disease-Dataset

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

python numpy seaborn dataset logistic-regression decision-tree-classifier kneighborsclassifier regression-algorithms random-forest-classifier pandas-python matplotlib-python sklearn-metrics adaboostclassifier sklearnmod

Updated Aug 17, 2024
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Bharati2301 / Comparative-study-of-various-Classification-Algorithms-in-Machine-Learning

python machine-learning random-forest naive-bayes-classifier xgboost logistic-regression decision-tree-classifier svm-classifier classification-algorithm gradient-boosting voting-classifier knn-classifier adaboostclassifier

Updated Dec 2, 2022
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anaungurean / Spam-Email-Classification

Machine Learning - Practical assignment

python machine-learning machine-learning-algorithms naive-bayes-classifier id3-algorithm knn-classifier adaboostclassifier

Updated Feb 8, 2024
Python

fezzibasma / Machine-Learning-Topics

Here you can explore different projects around Machine Learning Algorithms, Enjoy ☺️

python machine-learning scikit-learn eda logistic-regression regularization decision-trees ridge-regression boostrap ensemble-model kmeans-clustering linear-models svm-classifier dataengineering dbscan-clustering xgboost-classifier adaboostclassifier randomforestclassifier sgdclassifier

Updated Mar 13, 2023
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maryamsoftdev / Sentiment-Analysis-Using-Natural-Language-Processing-NLTK-

learning python day 15

sentiment-analysis ensemble-learning nlp-machine-learning tweet-analysis nltk-library gradientboostinclassifier fine-tuning adaboostclassifier

Updated Apr 16, 2024
Python

jialincheoh / finding-donors

Finding Donors with Machine Learning ( Support Vector Machine, Gradient Boosting Classifier, Random Forest Classifier )

machine-learning ensemble-learning support-vector-machines gradient-boosting-classifier random-forest-classifier adaboostclassifier

Updated Sep 22, 2021
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