A Logistic Regression Model that analyses the physical characteristics of a cancer patient's cells such as Cell Area, Perimeter and Concavity and predicts wether the cancer is benign or malignant with an accuracy of 98.25%.
The Jupyter Notebook contains the steps I took when applying the ETL processes and my EDA, as well as the training of the model.
The following link leads to the data visualizations made in Tableau: https://public.tableau.com/app/profile/miguel.saraiva6590/viz/Mid-Bootcamp-Project_16823699753100/Story1#1