Fortnight Hackathon Series For Data Scientists: Work Hour Prediction Challenge

Problem Description (from Machine Hack):

With the rise in different career opportunities, it's a challenging balance between work and personal life. We are learning and upskilling ourselves to grow ourselves in the competitive world. The wages are linked to the working hours and the skills we learn over time. The working hours vary at different locations with respect to earn the same income.

In this hackathon we need to  predict the working hours per week at different locations with attributes such as workclass, education, marital-status, occupation capital-gain, capital-gain, capital-loss etc. to get the desired salary in a range. 

Evaluation Metric: Root Mean-Squared Error

Ranking: 42 out of 160. First Place had an RMSE of 9.74622 and mine was 9.85864