Breast Cancer Detection

OBJECTIVE:

The repository is a learning excercise to:

• Apply the basic machine learning concept to an existing dataset.
• Train the model and obtain accuracy of the model.
• Creating a notebook and writing all computational records in it.

The analysis is divided into following sections:

• Importing the libraries and dataset
• Modifying table and content by taking care of missing data
• Finding number of malignant and benign cells
• Splitting the dataset into training and test set
• Training the model on the training set
• Predicting the accuracy of different models

Data Used

https://www.kaggle.com/datasets/uciml/breast-cancer-wisconsin-data

Environment and Tools

• Jupyter Notebook
• Numpy
• Pandas
• Matplotlib
• Scikit-learn
• Seaborn
• Accuracy Score
• Classification Report