Courses for introduction to data science
Data Science Tools Note: This is an updated version of the old course. If you were enrolled in the older version […]
Meetup Speakers – Guidelines
Meetups are an integral part of our Data Science Society knowledge sharing pillars. They are regular events that usually happen once in […]
Monthly Challenge – Sofia Air – Team Yagoda – Solution
Business understanding A vibrant and dynamic lifestyle of a big city leads to a necessity its citizens to deal with particular drawbacks. In case […]
Sofia Air Quality EDA (Exploratory Data Analysis) and basic ARIMA model – updated
Hi Everybody, I have done a basic EDA of some of the data and summarized it in the below python Jupyter notebook. […]
Monthly Challenge – Sofia Air – Solution – Banana
Business Understanding Air pollution is one of the major global topics in every part of the modern life – politics, ecology, social […]
Monthly Challenge – Sofia Air – Solution – Kams
Week 1 – Kick off article. Feedbacks: First, Kudo’s for setting this up. Amazing kick off considering all the moving part. A […]
Monthly Challenge – Sofia Air – Solution – [SKY_DATA]
DATA DATA DATA !!
Datathon Kaufland Solution – Kaufland case – Team3
Kaufland Case – Team3 No content
Datathon Sofia Air Solution – Team Duckelicious Case Telelink
Business Understanding In Sofia, air pollution norms were exceeded 70 times in the heating period from October 2017 to March 2018, […]
Datathon Telenor Solution – Ravens for Communication
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.
Datathon Telenor Solution – Winner Winner-Data Dinner- The Telenor Case
Based on one month data with flight fails, we have to make time-series analysis and predict the future amount of fails and also to find out how many of the ravens sent are not going to make it. Communication being an essential part of the human existence and lives are solely dependent on regular communication,it is necessary to find out the failures,so as to improve them and make the communication system better and to predict further flaws in the system and correct them.As we dig deep into this data,we will find valuable insights that would help us to improve the failure rate and downgrade it,so as to improve the success rate and provide a better working system to work on in the near future.