Breast Cancer Analysis and Prediction

Data preprocessing and exploration is done and then the models will be trained. Once, the model is trained, it will be tested to get the highest prediction accuracy.

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Inspiration

Breast cancer became the major source of mortality between women. The accessibility of healthcare datasets and data analysis promotes the researchers to apply study in extracting unknown pattern from healthcare datasets. The intention of this project is to design a prediction system that can predict the incidence of the breast cancer at early stage by analyzing smallest set of attributes that has been selected from the dataset by UCI machine learning repository.

What it does

It is prediction system that predicts incidence of breast cancer.

How I built it

I have built it using jupyter (anaconda terminal) using python programming language. Packages of machine learning algorithms were used and some visualization tools

What I learned

What's next for Breast Cancer Analysis and Prediction

Making the system even better in terms of accuracy of prediction for larger datasets

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