• The goal is to classify whether the breast cancer is benign or malignant. • Aims to find independent features and to see general trends that may aid us in model selection and hyper parameter selection. • To achieve this I have used DECISION TREE CLASSIFIER to fit a function that can predict the discrete class of new input. • TECH STACK: Jupyter Notebook, Python and its libraries such as Numpy, Matplotlib, pandas, Seaborn, sklearn.
avishekiitism/Breast_Cancer
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|