applift-hack-team-vicarious

Datathon centered around finding/recommending patterns in mobile/tablet market, and investing for various app markets domain-upliftment. Refer to docs/ for more on problem statement, slides & screenshots of the approach and such. Some samples are included below:

3 Phases

P1

Raw statistics, subject to answering qualms about bidding, and such

P2

Visualizations depicting correlations and to help with extracting meaningful features meant for Phase 3

P3

Predictions, with ExchangeBid as input, Outcome as output and the features obtained from Phase 2 as weights.

Note

So, we started with an ipython notebook then moved on to IBM watson analytics, and finally ended up using Dato's GraphLab for logistic regression, elasticsearch & Kibana for visualizations and some spreadsheet magic to infer "Where to put my money?"

- Team Vicarious