gradientboosting

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

machine-learning exploratory-data-analysis pandas feature-selection logistic-regression feature-engineering hyperparameter-tuning decision-tree-classifier gradientboosting smote dataanalysis correlation-analysis joblib shap modelselection xgboost-classifier randomforestclassifier lgbmclassifier randomsearchcv classificationreport

UpdatedNov 27, 2024
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mafrs47 /Lung_Cancer_Prediction

Star4

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

deep-learning svm scikit-learn jupyter-notebook cnn xgboost lung-cancer convolutional-neural-networks decision-trees decision-tree-classifier gradientboosting computational-pathology multiple-instance-learning histopathology

UpdatedFeb 20, 2026
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cdalsania /Credit_Card_Fraud_Detection

Star3

This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.

machine-learning random-forest svm scikit-learn machine-learning-algorithms logistic-regression adaboost decision-trees naivebayes gradientboosting smote nueral-networks scikitlearn-machine-learning oversampling creditcard-fraud undersampling deepneuralnetworks

UpdatedNov 23, 2021
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Yanne0800 /Lung_Cancer_Prediction

Star3

python algorithm deep-learning scikit-learn keras cnn classification lung-cancer decision-trees decision-tree-classifier gradientboosting medical-image-processing neuralnetworks navies-bayes-classifer

UpdatedFeb 20, 2026
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ankanD1601 /Amazon-Fine-Food

Star2

machine-learning random-forest svm naive-bayes exploratory-data-analysis lstm gbdt logistic-regression decision-trees kmeans-clustering gradientboosting agglomerative-clustering

UpdatedMar 27, 2019
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ankit013 /Catboost

Star1

Implementing Catboost

tree hyperparameter-tuning gradientboosting categorical-data catboost shap catboost-model

UpdatedJul 18, 2020
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govardhan26 /Heart-disease-blog

Star1

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

python blog machine-learning machine-learning-algorithms classification logistic-regression adaboost gradientboosting heartdisease crossvalidation

UpdatedOct 28, 2019
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saranggalada /ML_Superconductivity

Star1

Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.

machine-learning random-forest scikit-learn exploratory-data-analysis regression pandas dimensionality-reduction ensemble-learning adaboost decision-trees support-vector-machines principal-component-analysis hyperparameter-tuning elasticnet gradientboosting

UpdatedSep 17, 2023
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bharanianand /Toyota-Corolla

Star1

Regression Analysis - Toyota Corolla price prediction

python machine-learning machine-learning-algorithms regression recurrent-neural-networks pca-analysis ensemble ridge-regression polynomial-regression gradientboosting nueral-networks lasso-regression pasting knn-regression support-vector-regression adaboosting decisiontreeclassifier machinelearning-python bagging-trees

UpdatedMay 21, 2020
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tezzytezzy /caravan-insurance-policy

Star1

Random Forest Classification

random-forest numpy scikit-learn pandas matplotlib feature-engineering hyperparameter-tuning gradientboosting ensemble-classifier dendrogram gridsearchcv adaboosting decison-trees

UpdatedJul 31, 2021
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hncpr1992 /BlogFeedBackProject

Star1

machine-learning regression feature-engineering gradientboosting

UpdatedAug 15, 2017
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ankushmallick1100 /Django-Insurance-Premium-Predictor-Web-App

Star1

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

css python html bootstrap machine-learning django numpy sklearn regression pandas matplotlib regression-models gradientboosting tailwind tailwindcss tailwind-css bootstrap5 insurance-premium-predictor gradientboostingregressor insurance-prediction

UpdatedNov 9, 2024
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shihabmuhtasim /Machinearning-Model-Weather-Prediction-Rain-Snow-

Star0

This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.

machine-learning artificial-intelligence randomforest gradientboosting datapreprocessing decesion-trees naivebayesclassifier

UpdatedAug 28, 2023
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sarahloree /Project-6---Stock-Market-News-Sentiment-Analysis-Summarization

Star0

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

sentiment-analysis hyperparameter-optimization sentiment-classification gradientboosting parameter-tuning glove-embeddings naturallanguageprocessing word2vec-embeddinngs summarization-algorithm llms sentencetransformerembeddings