Breast Cancer Prediction using Machine Learning

This GitHub repository contains code for predicting breast cancer using the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle. The prediction is done using a logistic regression model, and the analysis includes data visualization using Seaborn and data manipulation using Pandas.

Dataset

The Breast Cancer Wisconsin (Diagnostic) Data Set contains features of the breast of the Patient and their corresponding diagnosis. The dataset includes a total of 569 instances, each described by 30 numeric attributes. The target variable indicates whether the tumor is malignant (M) or benign (B).

Machine Learning Algorithms Used

• Logistic Regression
• Decision Tree
• Random Forest
• Linear Regression
• SVM (Support Vector Machine)

Libraries Required

To run the code in this repository, you need to have Python installed along with the following libraries:

• Pandas
• Seaborn
• Scikit-learn
• Matplotlib