This project implements a machine learning model for predicting whether a given instance of cancer is malignant or benign. The model is trained on a dataset containing relevant features associated with cancer cases and is capable of making predictions based on these features.

• Malignancy Prediction: The model can classify cancer instances as either malignant or benign based on input features.

• Data Analysis: Exploratory Data Analysis (EDA) has been performed on the dataset to gain insights into the characteristics of the data.

• Performance Metrics: The model's performance is evaluated using metrics such as accuracy, precision.