March 2019
Beginner to intermediate
288 pages
6h 21m
English
Content preview from Hands-On Machine Learning with IBM Watson
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The Python code
First, we can take a look at the Python code:
- This step references pandas and then defines our two-dimensional DataFrame. Note that the data is simply two lists of numbers, defined as x and y:
from pandas import DataFrameData = {'x': [25,34,22,27,33,33,31,22,35,34,67,54,57,43,50,57,59,52,65,47,49,48,35,33,44,45,38,43,51,46], 'y': [79,51,53,78,59,74,73,57,69,75,51,32,40,47,53,36,35,58,59,50,25,20,14,12,20,5,29,27,8,7] }df = DataFrame(Data,columns=['x','y'])print (df)
The last command (print(df)) is added so that if you run the code, you'll get to see the output, which should match the dataset that was defined.
- The next step is where we will use the sklearn Python module to find the centroids for three and then for four clusters, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.