Data Science Showdown: Praxis Business School Launches ‘Data Science Student Championship 2023’

In collaboration with MachineHack, Praxis Business School calls upon students from engineering colleges and universities to participate in the 2nd edition of 'Data Science Student Championship'.
Data Science Showdown: Praxis Business School Launches ‘Data Science Student Championship 2023’
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For the second year in a row, MachineHack and Praxis Business School have collaborated to invite students pursuing degree programs (UG or PG) from colleges and universities across India to participate in the ‘Data Science Student Championship‘ Hackathon contest. 

This month-long championship offers a fantastic opportunity for students, and academic researchers from various STEM fields to showcase their data science and problem analysis skills and catch the attention of top companies at this grand stage. It’s a chance to demonstrate their abilities, innovate, and make a name for themselves in the world of data science.

Starting on May 19, 2023, and concluding on June 11, 2023, the Hackathon aims to discover data science talent from across institutions in India.

Get ready to showcase your talent and knowledge as the next generation of data science professionals come together to make their mark!

Click here to register

About Data Science Student Championship

In the first round, participants will dive into the dataset, analyze it, and come up with ingenious solutions. They will submit their solutions through the MachineHack platform.

Moving forward to June, the top ten contestants from the leaderboard will gather in Bangalore. They will present their final solutions to a panel of experts/leaders from the data science industry during the Final Jury Round.

The top three contestants/teams with the best solutions will be announced as the winners of the Data Science Student Championship 2023, receiving their cash awards and the prestigious title of ‘Data Science Student Champion 2023’. 

All contestants who make it to the jury round will receive certificates of commendation, recognizing their exceptional work and dedication in the field of data science.

Problem Statement 

Have you ever wondered how ride-hailing services determine the cost of your trip? Now, as a data enthusiast, you have the chance to put your skills to the test. Predict the total fare of a ride-hailing journey and showcase your talent in this thrilling competition. Get ready to show off your prediction prowess and join the excitement!

Here’s a quick look at your toolbox for this event:

  • ‘trip_duration’: How long did the journey last?
  • ‘distance_traveled’: How far did the taxi travel?
  • ‘num_of_passengers’: How many passengers were in the taxi?
  • ‘fare’: What’s the base fare for the journey?
  • ‘tip’: How much did the driver receive in tips?
  • ‘miscellaneous_fees’: Were there any additional charges during the trip?
  • ‘total_fare’: The grand total for the ride (this is your prediction target!).
  • ‘surge_applied’: Was there a surge pricing applied? Yes or no?

Evaluation & Prizes

The submissions for the competition will be assessed based on the RMSLE metric, ensuring a fair evaluation process.

A total of INR ₹50,000 is up for grabs between the top 3 winners as shown below:

  • First place: INR ₹25,000
  • Second place: INR ₹15,000
  • Third place: INR ₹10,000

To ensure your eligibility for the prizes, it is essential that you keep your MachineHack profile updated with all the relevant details. Additionally, we strongly recommend thoroughly reviewing the “Rules” section before participating in the competition.

Please note that the prize money will be awarded to participants only if they are selected by Analytics India Magazine and Praxis Business School in the Hackathon.

So gear up, put your data science skills to the test, and stand a chance to win big in this thrilling competition!

Start Date: May 19, 2023

End Date: June 11, 2023

Final Jury Round: June 20, 2023

Jury Round Venue: Hotel Davanam Sarovar Portico Suites, Bengaluru

Click here to register

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Tasmia Ansari
Tasmia is a tech journalist at AIM, looking to bring a fresh perspective to emerging technologies and trends in data science, analytics, and artificial intelligence.

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