Datathon Telenor Solution – Exploratory Data & Predictive Analytics -Analogy of Game of Thrones With Telenor Telecommunications

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->This datasets is regarding the time series analysis on the failure rate of RAVENS sending the messages from kings landing to the north.
It depicts the analogy of Telenor communication  and Game of Thrones.
-> Sending ravens is one of the most fundamental parameters in mobile communications engineering.
For land-based mobile communications, the received raven variation is primarily the result of multipath fading caused by obstacles such as buildings (or clutter) or terrain irregularities; the distance between link end points; predatory animals, and interference among multiple transmissions, for example wars.
This inevitable raven variation is the cause of communication dropping, one of the most significant quality of service measure in operative communication. For this reason, various techniques and schemes are employed in the planning, design and optimization of raven networks to combat these propagation effects.
This normally covers the network physical configuration which include all aspects of network infrastructure deployment such as locations of base nests; additional food; sometimes guards, etc.
A typical example of these schemes and techniques is the use of models for flight prediction based on measured data.
Based on one month data with flight fails, the participants have to make time-series analysis and predict the future amount of fails.

Datathon Telenor Solution – Ravens for Communication

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It is a very well known fact that Exploratory Data Analysis is cornerstone of Data Analysis.
On the analysis of data it is evident that Brass Raven Birdy as the most failed and the Metallic Raven Sunburst Polly is the most successful raven. Also Targeryan family has the most Raven fails whereas Baelish family has the least failures,and among the family of Baelish, Peter Baelish has the most failure rate and Euron has the least failures.
ARIMA model is used for predicting the number of failures for the next 4 days.

Team Chinchillas, Telenor SNA case

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Business Understanding Telenor wants to identify Social Network leaders from a list of A and B nodes, their connection counts and connection strengths. A second goal is to characterize a node’s possibility of turning “bad” from its relationship to a list of truly bad nodes. Data Understanding We have 118 690 unique nodes with 1 […]