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learning_concepts_breast_cancer_classification

Learning concepts : breast cancer classification

Step 1 : Download Data from UCL Repository and understand it. It is about cell details - we have to predict whether the cell is of cancer or non cancer.

Step 2 : Train and Test Subsets

Step 3 : Use SVM Model/Algorithm for classication

Step 4 : Check Accuracy

Step 5 : Accuracy not so well ? Improve it. Via Two technique - -- Noramlization of all the attribute values -- Using GridSearch

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Learning concepts : breast cancer classification

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