2. BIKE SHARING:
๏ต Bike sharing systems are new generation of traditional
bike rentals where whole process from membership,
rental and return back has become automatic.
๏ต Through these systems, user is able to easily rent a bike
from a particular position and return back at another
position.
๏ต Currently, there are about over 500 bike-sharing
programs around the world which is composed of over
500 thousands bicycles.
๏ต Today, there exists great interest in these systems due to
their important role in traffic, environmental, social,
public, eco and health issues.
4. Problem Statement:
๏ต Please make an explorative data analysis and build a
model for the hourly utilization โcntโ of the
๏ต given data set:
๏ต Report the mean absolute deviations.
5. Data Set:
Hour CSV
๏ต This dataset contains the hourly and daily count of rental bikes between years 2011 and 2012 in
Capital bike share system with the corresponding weather and seasonal information.
Attribute Information:
1. Instant
2. hr
3. Season
4. weathersit
5. Temp
6. Hum
7. windspeed
8. Casual
9. atemp
10. Count
11. Registered
14. RANDOM FOREST METRICS
TABLE:
Model Dataset MSE MAE RMSLE Score
RandomFor
estRegress
or
training 372.28 11.32 0.18 0.99
RandomFor
estRegress
or
validation 1817.10 25.58 0.36 0.94