October 2018
Intermediate to advanced
134 pages
2h 39m
English
The main objective of this chapter is to see how machine learning helps detect cancer through the SVM and KNN models. The following screenshot is an example of the final output that we are trying to achieve in this project:

We will receive the information shown in the preceding screenshot for approximately 700 cells in our dataset. This will include factors such as clump_thickness, marginal_adhesion, bare_nuclei, bland_chromatin, and mitoses, all of which are properties that would be valuable for a pathologist. In the screenshot, you can see that the class is 4, which means that it is malignant; so, this particular ...
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