This repository provides Python implementations for Non-negative Matrix Factorization (NMF) using the Multiplicative Update (MU) algorithm. Two initialization methods are supported: random initialization and Non-negative Double Singular Value Decomposition (NNDSVD). NMF is a matrix factorization technique used in various fields, including topic mod

Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях

Twitter Fake News Detection, Traffic Sign Classification, Clustering Synthetic Data

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

The Deep Learning project for Pima Indian Diabetes dataset. For more details, you can read my report and read.me

University of Tehran-Artificial Intelligence Spring 2021

Linear Regression Hands-on Implementation

Drug classification model deployed with Docker and Flask

The project offers a metaheuristic approach based solution that aims to optimize classification accuracy. I tried to use genetic algorithms in this context to find the best classification parameters. However, it did not support my deep learning classification project using the same dataset.

Projects accompanying the course Advanced ML at ETH Zurich, 2020.

Machine learning project aimed at predicting house rent prices based on various features.

Test task for students assosiation

With approximately 7000 lines of code, both Supervised and Unsupervised Learning types will be explored and discussed.

Decision_tree module for C++ and Python