Skip to content
View andreasdarsa's full-sized avatar
💭
Exams finished, lesgoooo
💭
Exams finished, lesgoooo

Block or report andreasdarsa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
andreasdarsa/README.md
  • 👋 Hi, I’m @andreasdarsa
  • 📚 I study Computer Science at the Aristotle University of Thessaloniki
  • 👀 I’m mainly interested in Data Science and Machine Learning
  • 📫 How to reach me: email andreasdarsaklis9@gmail.com

my-stats

top-langs

Pinned Loading

  1. MaBaN-Market-Basket-Analysis MaBaN-Market-Basket-Analysis Public

    A web tool used to analyze csv transaction files and produce association rules and frequent itemsets using the apriori algorithm.

    HTML

  2. data-mining-and-clustering data-mining-and-clustering Public

    Forked from lazoulios/data-mining-and-clustering

    Python 1

  3. eshop-assignment eshop-assignment Public

    A basic clothing e-shop developed as part of the Web Information Systems course

    Python 1

  4. Data-Quality-Experiments-on-Business-Logs Data-Quality-Experiments-on-Business-Logs Public

    A collection of experiments on the impact of data quality on business process mining and process maps.

    Python

  5. Movies4U Movies4U Public

    Java desktop app in which subscribers can view all available movies series, like them and/or add them to favourites and administrators can add/delete/edit the app's content. App identifies whether …

    Java

  6. Football-Players-Clustering-by-Roles Football-Players-Clustering-by-Roles Public

    An implementation of the K-Means clustering algorithm in football players data (midfielders specifically), in order to group them in different roles and find similar players.

    Python