## Problem Statement :
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. 

Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues.

The data each day on number of bikes rented and other associated variables are recorded by a company in South Korea to understand the demand for such service.

###  Task:
- Train a model to predict total_rentals using train.csv. 
- Predict total_rentals for data provided in test.csv using the trained model.
- Upload the prediction file with 1 column named total_rental.

### Rules:
 - You can submit up to 5 solutions per day. The final submission deadline is 4th June at 5:00 PM.
 - Submissions file has to be uploaded on Kaggle. Check sample submission for reference.

### Evaluation:
  - RMSE is the evaluation criteria. Lower the RMSE, better is the solution.

### Results: 
 - Public leader board will display the score, while competition is in progress.
 - Final results will be displayed in private leader board after the competition closes.