MachineHack platform recently concluded its 11th hackathon, “Predict The Flight Ticket Price Hackathon”. The three winners at the leaderboard pinnacle were Stavya Bhatia, Chetan Ambi, and V Sreekiran Prasad. Analytics India Magazine talked to the winners to understand how they went approximately this hackathon and resolved this exciting problem. We even have a code of these winners uploaded on Github to assist the readers in understanding the code that they used to solve the trouble.

Stavya Bhatia, who has been a Sr. Analyst at Intuit India Pvt Ltd., a Goldman Sachs funded startup, is a mechanical engineer from Manipal Institute of Technology. Admittedly, before everything, he didn’t know tons about information, technological know-how, and gadget gaining knowledge of however speedy transitioned after touchdown a task at Mu Sigma. He learned numerous information technology techniques and programming languages.

He says, “But most significantly, it helped me inculcate a dependency of relentless self-getting to know which inspired me to educate myself advanced analytics and device mastering in my loose time at the weekends.” He also said that online popular MOOC courses helped him understand modeling principles, and structures like Kaggle helped him exercise what he learned and broaden the instinct necessary for hassle-solving.

Bhatia stated, “I assume I become fortunate to have located myself a task in statistics science, as these days, I see the arena with a very distinctive, analytical lens. My experiences in these 3 years have helped me construct a ‘can do’ mindset and a ‘solution-orientated attitude, each of which has equipped me with the self-assurance to tackle any assignment in the shop for me within the destiny.

Bhatia spent a great time learning about the aviation enterprise, the economics of airline expenses, flight schedules, and the dynamics of a flight community. Having done that, once he turned assured that he understood the problem area and industry, he commenced noting down all the viable reasons that could affect costs. To hold an impartial angle, he ensured that he does now not observe the information. After exhaustively listing the feasible thoughts that could assist his version, he began exploring the records and separating implementable speculation from the non-implementable ones based on the to be had dataset.

He stated that his learnings from Coursera, Udemy, and Kaggle got here to test the appropriateness of different modeling strategies for this hackathon. With the expertise of the models and the listing of speculation, he began testing his hypothesis by running them one at a time and checking how his model was accomplished. This involved iteratively writing code in Jupyter notebook, which included statistics cleaning, manipulation, era, model selection, man or woman version parameter tuning, and sooner or later ensemble modeling that helped him reach a score of .9569 on the leaderboard.

Talking about his enjoyment at the MachineHack platform, Bhatia said that his enjoyment changed into ‘Extreme Fun and Learning.’ He said that he now not simplest progressed as a statistics scientist at some point of his journey but made some precious contacts on the way. Several individuals reached out to him to research from his approach, and at the equal time, he reached out to numerous individuals to study from their technique.