Because of the COVID-19 pandemic in recent years, conventional lung diseases have been gradually neglected, especially lung cancer, which used to have a high mortality rate. This paper focuses on the ...

The saved features were utilized to train a Support Vector Machine (SVM) for classification. High Accuracy Achieved: The combined CNN-SVM model yielded impressive results, achieving an accuracy of 98% ...

Machine learning techniques allow us to predict, and detect cancer, and help reveal the cancer stages during an invasive phase.The study tackles several major challenges in the field of breast cancer ...

The repository is a learning exercise to: Apply the fundamental concepts of machine learning from an available dataset; Evaluate and interpret my results and justify my interpretation based on ...