Second Assignment done for the partial completion of the course Foundations of Data Science (CS F320)

BITS F320 – Foundations of Data Science II Semester 2018-19 Assignment #2 Due Date:25th April (Thursday), 2019 Weightage – 10% Time-series Classification - Occupancy Detection Apply different techniques (at least 2) to classify time-series data to predict occupancy in an office room. The variables involved are:

1. date time year-month-day hour:minute:second
2. Temperature, in Celsius
3. Relative Humidity, %
4. Light, in Lux
5. CO2, in ppm
6. Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwatervapor/ kg-air
7. Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status Dataset: http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+# Implement all your models in R. Assignment Groups: Form a team of up to 3 students (same groups as for Assignment #1) You will be provided with a presentation template in which you will need to fill the details. References:
8. http://biointelligence.hu/pdf/timeseriestutorial_paper.pdf
9. https://www.researchgate.net/publication/322184827_Time- Series_Classification_Methods_Review_and_Applications_to_Power_Systems_Data
10. http://ceur-ws.org/Vol-1793/paper4.pdf