September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Attribute information
For each entry in the dataset, the following is provided:
- Triaxial acceleration from the accelerometer and the approximate acceleration of the body
- Triaxial angular velocity from the gyroscope
- Time and frequency domain variables with 561-feature vector
- Various labels of activity
- An identifier of the subject who was observed
By referring to the following steps, you will learn how to build a multi-class classification using SVMs:
- Let's quickly import all the necessary libraries that you will need in order to implement an SVM with multi-class classification:
In [1]: import numpy as np... import pandas as pd... import matplotlib.pyplot as plt ... %matplotlib inline... from sklearn.utils import shuffle... from sklearn.svm ...
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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.