Projects in Awesome Lists tagged with gradientboosting
A curated list of projects in awesome lists tagged with gradientboosting .
https://github.com/evovest/evotrees.jl
Boosted trees in Julia
boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression
Last synced: 16 May 2025
https://github.com/Evovest/EvoTrees.jl
Boosted trees in Julia
boosted-trees decision-tree gbrt gradient-boosting gradientboosting julia logistic machine-learning poisson quantile regression
Last synced: 04 May 2025
https://github.com/rohitinu6/neolung
Lung Cancer Prediction using Machine Learning Algorithms
adaboost data-analysis decision-trees gradientboosting knn logistic-regression machine-learning naivebayes neuralnetworks python randomforest scikit-learn svm xgboost
Last synced: 31 Oct 2025
https://github.com/mafrs47/lung_cancer_prediction
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.
cnn computational-pathology convolutional-neural-networks decision-tree-classifier decision-trees deep-learning gradientboosting histopathology jupyter-notebook lung-cancer multiple-instance-learning scikit-learn svm xgboost
Last synced: 02 Mar 2026
https://github.com/pavankethavath/microsoft-classifying-cybersecurity-incidents-with-ml
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
classificationreport correlation-analysis dataanalysis decision-tree-classifier exploratory-data-analysis feature-engineering feature-selection gradientboosting hyperparameter-tuning joblib lgbmclassifier logistic-regression machine-learning modelselection pandas randomforestclassifier randomsearchcv shap smote xgboost-classifier
Last synced: 23 Apr 2025
https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
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.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
Last synced: 09 Apr 2026
https://github.com/yanne0800/lung_cancer_prediction
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.
algorithm classification cnn decision-tree-classifier decision-trees deep-learning gradientboosting keras lung-cancer medical-image-processing navies-bayes-classifer neuralnetworks python scikit-learn
Last synced: 05 May 2026
https://github.com/mindful-ai-assistants/2-social-buzz-ai-gboost-and-lowdefault-modeling
2-Gradient Boosting Machines and Low-Default Modeling: A repository for research, implementation, and best practices with Gradient Boosting methods (GBM, XGBoost, LightGBM), H2O AutoML, and robust strategies for modeling extreme class imbalance ("Low Default") in data science for finance and risk.
anomaly-detection auto-machine-learning credit-risk disease-prediction financia-lmodeling fraud-detection gbm gradientboosting h2o imbalanced-data lightgbm low-default-modeling machinelearning model-interpretability natural-language-processing oneness-consciousness randomforest risk-analytics smote xgboost
Last synced: 09 Oct 2025
https://github.com/sarahloree/project-6---stock-market-news-sentiment-analysis-summarization
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.
glove-embeddings gradientboosting hyperparameter-optimization llms naturallanguageprocessing parameter-tuning sentencetransformerembeddings sentiment-analysis sentiment-classification summarization-algorithm word2vec-embeddinngs
Last synced: 19 Oct 2025
