COURSERA Applied-Machine-Learning-in-Python assignment4

COURSERA Applied-Machine-Learning-in-Python assignment4

因为直接下载的notebook保存了,
csdn没法直接上传notebook，放在github了。嘻嘻从零开始学习，希望大家一起加油吧，在csdn学习到了很多知识，现在小白也来输出一点奶！
https://github.com/tolozheng/Applied-Machine-Learning-in-Python/blob/master/Assignment_ML4.ipynb

Assignment 4 - Understanding and Predicting Property Maintenance Fines

This assignment is based on a data challenge from the Michigan Data Science Team (MDST).

The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by the city to individuals who allow their properties to remain in a deteriorated condition. Every year, the city of Detroit issues millions of dollars in fines to residents and every year, many of these fines remain unpaid. Enforcing unpaid blight fines is a costly and tedious process, so the city wants to know: how can we increase blight ticket compliance?

The first step in answering this question is understanding when and why a resident might fail to comply with a blight ticket. This is where predictive modeling comes in. For this assignment, your task is to predi