October 2018
Intermediate to advanced
134 pages
2h 39m
English
Content preview from Machine Learning for Healthcare Analytics Projects
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Introduction to the dataset
Our next step is to import the Pima Indians diabetes dataset, which contains the details of about 750 patients:
- The dataset that we need can be found at https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv. We can import it by using the following line:
url = "https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv"
- If we navigate to the preceding URL, we can see a lot of raw information. Once we have imported the dataset, we have to define column names. We will do this using the following lines of code:
names = ['n_pregnant', 'glucose_concentration', 'blood_pressure (mm Hg)', 'skin_thickness (mm)', 'serum_insulin (mu U/ml)', 'BMI', 'pedigree_function', ...
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