Project Information

• Project category: Data Mining
• Creation date: May 2023
• Project URL: github.com/alexoiik/Data-Mining-Investigation

Costumers' churn rate investigation of a telecommunication company, using python, scikit-learn and a two-dimensional dataset. This investigation was an assessment by university's course "Data Organization and Data Mining" and completed through Visual Studio Code with classification and clustering algorithms.

Classification algorithms used:
 • k-Neirest Neighbors (kNN)
 • Decision Trees (D-Trees)

Clustering algorithms used:
 • k-means
 • Hierarchical clustering
 • DBSCAN