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GitHub topics: clasterization

sobakavosne/first-artificial-training 📦

Artificial Intelligence training provided by BelHard Academy

Language: Jupyter Notebook - Size: 424 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

jerzyszyjut/ai-labs

Code solutions for artificial intelligence labs made during my studies

Language: Python - Size: 2.86 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

ForwardMoth/makrostat 📦

Introduction in Machine Learning

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

jackshendrikov/implicit-transition-graph

Program for selecting vertices that have a sign of implicit transition

Language: Python - Size: 1.19 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

exelero565/DS_Project_6

create models customer clustering by solvency

Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

EgorBaldezh/Project_E-commerce

Промежуточный проект на Karpov.Courses.

Language: Jupyter Notebook - Size: 191 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

SErjKk/Clustering_Methods

Using the K-means and DBSCAN methods for clustering a dataset✔

Language: Python - Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

TigDang/DBScan_project

An implementation of the DBScan algorithm on small pictures. White pixels under ignoring.

Language: Python - Size: 987 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ChayannFamali/Customer-Segmentation

In this task, the task of segmentation of clients (clustering by the K-Means method and Hierarchical clustering) was performed

Language: Jupyter Notebook - Size: 592 KB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

the-lans/StarsMap2D

Distribution of stars in 2D. Задача кластеризации и распределения звёзд на 2D плоскости с помощью Python.

Language: Jupyter Notebook - Size: 4.68 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0