Breast-Cancer-Detection-SVM

• Breast Cancer Detection using Support Vector Machine
• This problem falls under the Machine Learning classification problem.

About Cancer

• Tumor can be divided into Three Stage or Three Parts

benign [ not cancerous ] pre-malignant [ pre-cancerous ] malignant [ cancerous ]

• Since this build a model that can classify a breast cancer tumor using two training classification:

1= Malignant (Cancerous) - Present 0= Benign (Not Cancerous) -Absent

Libraries Used

• Numpy: To work with Matrix
• Pandas: To work with Dataset
• Matplotlib : To visualize Data
• Seaborn: To visualize Data
• Sklearn: To Load Dataset, Create matrix, train model, test model

Installation

• Install necessary modules using pip
• pip install requirement.txt

Reference

• https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/
• https://www.kaggle.com/tejainece/breast-cancer-prediction-using-svm-98-5
• https://cytecare.com/blog/statistics-of-breast-cancer/

Author

• D H R U V   P R A J A P A T I

Thank You!