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.
python datascience machinelearning knn svm-classifier datavisualization logisticregression decisiontreeclassifier featureengineering naivebayesclassifier scikitlearn randomforestclassifier aiinhealthcare healthcareai lungcancerprediction medicalanalysis
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Updated
Mar 23, 2025 - Jupyter Notebook