October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Feature selection
If you a have dataset with many variables, a good way to check correlations among columns is by visualizing the correlation matrix as a heatmap. We can identify and remove those that are highly correlated, thereby simplifying our analysis. The visualization can be achieved using the seaborn library in Python:
The following will be the output:
Correlation heatmap of the DataFrame
We can observe the following in the preceding heatmap:
- soldBy and days_old are highly negatively correlated
- age_median and income_median are positively ...
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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.