January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Classifying wine using logistic regressor
Let's now use what we've learned to classify wine quality. I can hear you thinking: What wine quality? No way! Let's see how our logistic regressor fares as compared to professional wine tasters. We'll be using the wine quality dataset (https://archive.ics.uci.edu/ml/datasets/wine+quality); details about the dataset are given in Chapter 1, Principles and Foundation of AI and IoT. The full code is in the file named Wine_quality_using_logistic_regressor.ipynb at the GitHub repository. Let's understand the code step by step:
- The first step is loading all of the modules:
# Import the modulesimport tensorflow as tfimport numpy as npimport pandas as pdimport matplotlib.pyplot as pltfrom sklearn.preprocessing ...
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