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Machine Learning Quick Reference
book

Machine Learning Quick Reference

by Rahul Kumar
January 2019
Intermediate to advanced content levelIntermediate to advanced
294 pages
6h 43m
English
Packt Publishing
Content preview from Machine Learning Quick Reference

Case study

The data that is given in this case study is about patients who were detected with two kinds of breast cancer:

  • Malignant
  • Benign

A number of features are given here that have characteristics in regard to the cell nuclei that have been computed from the fine-needle aspiration (FNA) of a breast mass. Based on these features, we need to predict whether the cancer is malignant or benign. Follow these steps to get started:

  1. Import all the required libraries:
import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as plt%matplotlib inlinefrom sklearn import preprocessingfrom sklearn.model_selection import train_test_splitfrom sklearn.metrics import confusion_matrix#importing our parameter tuning dependencies ...
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Publisher Resources

ISBN: 9781788830577Supplemental Content