Artificial Intelligence training provided by BelHard Academy
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Updated
May 28, 2020 - Jupyter Notebook
Artificial Intelligence training provided by BelHard Academy
Clasterization of TCGA dataset. Data preprocessing, visualization and clasterization with different alghoritms. Done mostly with Python 3.7 and Scikit-Learn library.
Program for selecting vertices that have a sign of implicit transition
An implementation of the DBScan algorithm on small pictures. White pixels under ignoring.
Distribution of stars in 2D. Задача кластеризации и распределения звёзд на 2D плоскости с помощью Python.
In this task, the task of segmentation of clients (clustering by the K-Means method and Hierarchical clustering) was performed
Get primary colors from an image
Using the K-means and DBSCAN methods for clustering a dataset✔
Промежуточный проект на Karpov.Courses.
кластеризация клиентов на основе их покупательской способности
Code solutions for artificial intelligence labs made during my studies
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