It absolutely was Wednesday, and I also ended up being sitting on the trunk row regarding the General Assembly Data Sc i ence course. My tutor had simply mentioned that all pupil needed to appear with two tips for information technology tasks, certainly one of which IвЂ™d have presenting into the class that is whole the termination of the program. My brain went completely blank, a result that being provided such free reign over selecting just about anything generally speaking is wearing me personally. We invested the following few days intensively attempting to consider a project that is good/interesting. We benefit an Investment Manager, so my first idea would be to decide on one thing investment manager-y associated, but when i thought I didnвЂ™t want my sacred free time to also be taken up with work related stuff that I spend 9+ hours at work every day, so.
Several days later on, we received the below message on certainly one of my team WhatsApp chats:
This sparked a thought. Let’s say I really could utilize the information technology and device learning abilities discovered inside the program to improve the chances of any conversation that is particular Tinder to be a вЂsuccessвЂ™? Hence, my task concept had been created. The next move? Tell my gfвЂ¦
A couple of Tinder facts, published by Tinder by themselves:
- The application has around 50m users, 10m of which make use of the software daily
- There have been over 20bn matches on Tinder
- An overall total of 1.6bn swipes happen every time in the application
- The user that is average 35 mins DAILY in the application
- An calculated 1.5m times happen PER due to the app week
Problem 1: Getting information
But exactly just exactly how would I have data to analyse? For apparent reasons, userвЂ™s Tinder conversations and match history etc. are firmly encoded to make certain that no body aside from the consumer can easily see them.