The book every data scientist needs on their desk.
-
Updated
Dec 13, 2024 - Jupyter Notebook
The book every data scientist needs on their desk.
🌐 SOMperf: Self-organizing maps performance metrics and quality indices
Creation an Information Retrieval Service with ElasticSearch
Segmentation des clients d'un site e-commerce (OpenClassrooms | Data Scientist | Projet 5)
Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
Code for running various online constrained clustering methods with different parameter combinations.
evaluation metrics implementation in Python from scratch
Add a description, image, and links to the clustering-metrics topic page so that developers can more easily learn about it.
To associate your repository with the clustering-metrics topic, visit your repo's landing page and select "manage topics."