October 2018
Intermediate to advanced
134 pages
2h 39m
English
Content preview from Machine Learning for Healthcare Analytics Projects
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Data preprocessing
Now, we'll look at preprocessing and what we have to do to handle that. We actually don't need all of the information present in the dataset. The age description is not needed because all of these individuals are between 4 and 11 years, and this is the same for all patients. So we will now drop the age_desc column using the following steps:
- We're going to go ahead and drop the age_desc column. Also, let's go ahead and drop the result numeric column since it is a weighted calculation of the screening method based on responses to the questions mentioned earlier. We have to make sure that we're not predicting whether these children have autism based on this column alone. To actually drop the columns, we will use the following ...
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