Notebook created in this video can be accessed at:
[ Ссылка ]

Problem statement:
Diagnose whether the patient has breast cancer using the features (attributes) provided.

What data is available?
Features (attributes) and corresponding labels (diagnosis) as a csv file.
[ Ссылка ]
OR
[ Ссылка ]

Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass

2 class problem: B-benign or M-malignant. 

Strategy: Use deep learning to train a model using features as input and labeled diagnosis (B or M) as output on the training data. Then, evaluate the accuracy on the testing data.

свернуть