Linear Regression Hands-on Implementation
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Updated
Aug 5, 2020 - Jupyter Notebook
Linear Regression Hands-on Implementation
Decision_tree module for C++ and Python
Drug classification model deployed with Docker and Flask
Projects accompanying the course Advanced ML at ETH Zurich, 2020.
Twitter Fake News Detection, Traffic Sign Classification, Clustering Synthetic Data
Test task for students assosiation
Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
With approximately 7000 lines of code, both Supervised and Unsupervised Learning types will be explored and discussed.
University of Tehran-Artificial Intelligence Spring 2021
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.
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
Machine learning project aimed at predicting house rent prices based on various features.
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