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  • Created over 4 years ago
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Early prediction and diagnosis of Breast cancer can prevent its spread and can also aid in effective treatment or medication. Predicting Breast cancer can be a very arduous task as the data can be highly Non-linear and may require high level computation modelling. However, many machine learning algorithms like KNN, K-Means, Decision Trees, Neural Networks etc. have proved to be effective in predicting Breast cancer. This study shows the using of K Nearest Neighbor (KNN) and K-Means algorithm to predict whether a person is having Breast cancer or not using a machine learning model trained with different features. Thus, we inferred that we can predict the Breast Cancer with reasonable accuracy.