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http://www.kaggle.com/c/bike-sharing-demand

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by

Anand Kumar Dharmaraj

on 3 May 2015

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Transcript of http://www.kaggle.com/c/bike-sharing-demand

Introduction
Forecast use of a city bikeshare system
Currently, there are over 500 bike-sharing programs around the world
Why ?
Outline
Data Preprocessing
Visualization
Feature Selection
Prediction
Evaluation
Data Preprocessing & Feature Engineering
Datetime
Hour
Day of Week
Month
Year
isSunday
Day Partition using Hour
3 (7-11, 12-20, 21-6)
4 (6 Hour partitions)
Windspeed (3 partitions 22.1, 31.1)
Visualization
Bike Sharing Demand
Feature Selection
Hour
Year
Season
Daypart
Weather
isSunday
Humidity
Atemp
Day of Week
Working Day
Prediction
R
Weka
RWeka
party (ctree)
randomForest
Techniques
Decision Tree
LR (0.5703), SLR (0.4)
REPTree (0.9014)
Bagged REPTree (0.9182)
MultiLayer Perceptron (0.8486)
SMOReg (0.5646)
LM
Ctree
Random Forest
Submissions
Evaluation
Anand Kumar Dharmaraj
Varun Varma Sangaraju

Q & A ?
Thank You
Full transcript