Learning by doing: Regression

Learning by doing is both rewarding and challenging. Many institutes worldwide have embraced this path to engage with students. I regularly have a component of hands-on projects in my courses, here is a partial list of regression projects carried out by my class in the last semester.

E-waste and economy: Abhijit Manek, Deven Parikh and Shivam Sony followed the research paper by Sigrid Kusch-Brandt and Colin Hills to verify that as per capita GDP-PPP increase the e-waste generation increases linearly.

Ph and TDS relation in waste-water from dye industries: Saumya Parekh, Deep Wadher and Preet Sangani studied waste water from Dye industry and followed the work by Farhana Maqbool to show that the Ph values in the waste water are a good indicator of TDS values.

Space-launch success rates: Shubham Ghodasara, Dhruv Shah and Ruchit Trived used data from wikipedia and from space-launch report to show that the success rate of space-launch has nearly saturated with time.

Carrier Selection in Gujarat: Haard Monpara, Tirth Panchamia and Jeet Dand collected data from various newspaper sites on the number of students appearing for Science or General stream exams over the last 10 years to study the trends and fluctuations.

Cricket score prediction: Manush Gami, Heet Patel and Ashutosh Mehta were interested in looking at T-20 match scores as a function of overs bowled. Their data came from a random sample.

Birth rate in India: Aashman Dave, Sagar Shah and Nikhil Tantia studied birth-rate per 1000 people in India from 2005 to 2016 from knoema.com and found a very good fit showing a downward trend.

Smokers in India: Praj Patel, Parva Raval and Aman Desai looked at percentage of population that smokes, using data from ourworldindata.org. They found a downward trend in data from 1980 to 2012.

Accidents in Gujarat: Darshil Kothari, Pavitra Patel and Kenil Shah did a polynomial fit on the accident data in Gujarat from 1999 to 2017 from rtogujarat.gov.in to study the trend.

Population growth in Gujarat: Nisarg Gandhi, Niraj Maniyar and Kaustubh Patel studied the population growth in Gujarat and found a very good linear fit.

Engine Horse-power and milage: Gimil Shah, Chirant Patel and Ishan Patel collected data from the websites of different car companies to study the relationship between engine horse-power and fuel efficiency.

Home-loan interest rates: Samay Patel, Parth Varshani and Aman Shah analysed home-loan amount and interest rates trends usinf data from the SBI website.

Alcohol consumption and GDP: Yashh Raj, Tathya Shah and Samyak Thaker analysed the trend for the Graph of alcohol consumption and GDP, with data from wikipedia, ourworldindta.org and alcohol.org

(To be continued)

Adafruit

I recently bought a new trinket M0 from adafruit. There are several fun features that project builders would find attractive.

Small size: about one rupee coin.

Power freedom: power with your phone-cable or a battery

No driver: it works with circuit python, driver not needed.

Light-weight

Easy to fix on a project

Three LED on-board, one of them RGB

Now I am looking into possibilities of doing fun things with it.

My clan

One amazing thing I find about fellow academics is the ease with which we connect.

Even when I meet them after decades, the shared knowledge goes beyond technical. There is an open-ness which allows us to trust each-other, joke about ourselves, gripe about students ( yes, most of the people I know do that while admitting that they themselves were the same) and discuss health, family and society.