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Benign & Malignant cancer predictor

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

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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%.

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