Team Name | ML Jokers |
Track | Telecommunications |
Use Case | ML use case based on telco data for mobile/fixed segment of customers. We plan to build a ML model covering topic of Network traffic forecasting, in order to solve network capacity problems. We will focus on 4G radio access. |
Technology | ML |
Region | EMEA (Serbia) |
Team lead | Sinisa Arsic |
Team members |
@KristinaM @dusandj @Sanjaja @NatasaK @Miljana @irenabo .@biljanamato .@jovanamir .@brankoco .@sgigic Kristina Miljevic, Sanja Blanusa, Dusan Djilas, Natasa Kovacevic, Irena Bogdanovic, Stefan Gigic, Jovana Mirkic, Branko Cosovic, Miljana Gigic, Milan Kovacevic Furundzic, Sinisa Arsic, Biljana Matovic |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
Experienced team of data engineers, data analysts and data scientists in telco domain. |
Hello all, greetings from Telekom Serbia
Welcome to Hacker’s Hub, team ML jokers!
Here we go 👍
ML jokers rules!
i comment for the network traffic forcasting...as a good innovation to read forcasting data...explained in the topic above...i hope i can join the organization in network traffic forcasting ...because i'm a member in SAS analytics or a data analytics in this organiztion...that i join last year...hoping that i can learn lesson & learned the subject's that has been discussed in this netwrok traffic forcasting...as a member in this SAS analytics organization...i will learned all the lesson about this subject's in network traffic forcasting ...if accepted as a data analytics or data scientist in the future...if granted to have an apprrentice in your organization in the future...please accept my letter to be a new member in network traffic forcasting in the future...from dexter casio masecampo...
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