Datathon Sofia Air Mentors’ Guidelines – On IOT Prediction
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
Solutions
Datathon Kaufland Mentors’ Guidelines – On Predictive Maintenance
In this article, the mentors give some preliminary guidelines, advice, and suggestions to the participants for the case. Every mentor should write […]
Stochastic Processes and Applications
This notebook is a basic introduction into Stochastic Processes. It is meant for the general reader that is not very math savvy, like the course participants in the Math Concepts for Developers in SoftUni.
There is a basic definition. Some examples of the most popular types of processes like Random Walk, Brownian Motion or Weiner Process, Poisson Process and Markov chains have been given. Their basic characteristics and examples for some possible applications are stated. For all the examples there are simulations in Python, some are visualized.
The following packages have been used:
nympy
matplotlib.pyplot
random
scipy.stats
itertools
matplotlib.patches
Team NFPs
Team “Non-Fungible Primates” PART I: Predicting NFT prices Business Understanding The non-fungible token market is illiquid. Currently there is not a solution […]
PMI
NFT Datathon 2022 Mentor(Alexandar Efremov) Team(Daniel Pavlov, Martin Nenov, Aleksandar Svinarov) Technology we use: -PyCharm -CoLAb What was our approach: Our approach […]
Datathon 2022 NFT Nexo case
1. Business Understanding There are multiple platforms for cryptocurrency-backed loans where you provide crypto as collateral and in return, you receive a […]
Datathon 2020 – NetInfo Article Recommender – Newbies
The project aims to build a recommender system for the website called Vesti.bg. As the company runs to serve its huge customer base (as clear from the given data!) completely and for their best interests. And in order to do that it wants to recommend its users with articles that they should read next (based on mimicking their reading pattern). This is expected to save a lot of its users’ time in thinking. Also, with better and faster recommendations come people’s interest and that results in the company’s growth. The Company actually has a huge customer base. So, providing them with what they might like can really help it in making good money.
2020_Kaufland_Raven_Delivery
Datathon 2020 Kaufland – Optimize Retail Supply Chain Team Name: Raven Delivery Authors Borislav Aymaliev Gabriela Vasileva Irina Naskinova Zainab Lawal […]
ShopUp Datathon2020 – Article recommender case
ShopUp is working on the Article recommender as a part of the Datathon2020 check some other researches which they are doing at https://shopup.me/blog/
Weather Effects on Traffic Accidents in Dubai
This article will analyze Dubai weather data collected from January 2018 to March 2020 in “Predicting weather disruption of public transport” case and Dubai traffic accident data collected from June 2019 to May 2020 on Dubai Pulse Dubai Police Traffic category.
Datathon2020 – NetInfo Article Recommender – Solution – nextClick
Giving a recommendation to the user to catch his eye on and meet his preferences is essential task for a recommendation system. The amount of data is increasing significantly and the idea is to get some knowledge from it. Taking advantage of user similarities or news similarities will provide useful information to predict which article will the user find interesting.