{'fraction_non_alphanumeric': 0.017513134851138354, 'fraction_numerical': 0.005253940455341506, 'mean_word_length': 4.72, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
CS 229 : Machine Learning Final Report Identifying Driving Behavior from Data

For my project, I am looking into how the driving behaviors influence the fuel efficiency of different vehicles. Danny Goodman, with MetroMile, has provided me with a set of data consisting of accelerometer, heading, speed, and gas usage information which I am using in order to determine how efficient a given driving style is. The goal of this project is to identify techniques which people could use in order to save fuel which has become a significant cost in the lives of many Americans.