We build a simple model using the earnings_data.csv data set for predicting writer's daily earnings based on member reading time. This project is organized as follows: (1) importation of necessary libraries; (2) importation of dataset; (3) building of regression model; (4) visualization of fitted regression line; and (5) model training, testing, and evaluation.
Author: Benjamin O. Tayo
Date: 12/1/2019
earnings_data.csv: dataset used for model building. Has 2 features: time (daily member's reading time in minutes) and earning (daily earning per story).
anlysis.ipynb: the jupyter notebook containing code.