BIG DATA:

CANCEROUS MELANOMA PREDICTOR

This project employs statistical analysis to predict the nature of melanomas. This is: whether they are benign or malignant.

The machine-learning algorithm was trained with a dataset from the University of Wisconsin containing 699 instances, with 10 variables each.

The final model has an accuracy of around 97%.

 My role: Machine Learning Implementation

 
 

Code and Dataset

You can download and test the Machine Learning Algorithm by clicking on the following icons:

Jupyter Notebook (Python) File

Melanoma Dataset (CSV)

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© 2020 by Pilar Zhang Qiu.

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