Logistic regression using scikit-learn
ML classification models have many different applications including human resources within the oil and gas industry. In this exercise, an HR data set which consists of 10 input and 1 output features are used to determine whether an employee will quit or not. This data set can be found in the link below:
The input features are as follows:
Late show up percentage, Project initiative percentage, Percentage of project delivery on time, Percentage of emails exchanged, Percentage of responsiveness, Percentage of professional email response, Percentage of sharing ideas, Percentage of helping colleagues, Percentage of entrepreneurial posts on ...
Get Machine Learning Guide for Oil and Gas Using Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
