November 2016
Beginner to intermediate
941 pages
21h 55m
English
book
Python: Real World Machine Learning
by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
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Estimating traffic
An interesting application of SVMs is to predict the traffic, based on related data. In the previous recipe, we used an SVM as a classifier. In this recipe, we will use it as a regressor to estimate the traffic.
Getting ready
We will use the dataset available at https://archive.ics.uci.edu/ml/datasets/Dodgers+Loop+Sensor. This is a dataset that counts the number of cars passing by during baseball games at Los Angeles Dodgers home stadium. We will use a slightly modified form of that dataset so that it's easier to analyze. You can use the traffic_data.txt file already provided to you. Each line in this file contains comma-separated strings formatted in the following manner:
- Day
- Time
- The opponent team
- Whether or not a baseball game ...
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