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Name: Rustam Ibraev
Type: User
Company: KSTU
Bio: I am a student studying Information Systems and Technologies at the Department of Informatics and Applied Mathematics in KSTU
Location: Kazan
Name: Rustam Ibraev
Type: User
Company: KSTU
Bio: I am a student studying Information Systems and Technologies at the Department of Informatics and Applied Mathematics in KSTU
Location: Kazan
Inference code for CodeLlama models
Электронный тест по теме (machine learning, ML) в рамках лаб. работы по дисциплине "Информационные системы в образовании". В тесте 102 вопроса, вопросы базовые не требуют продвинутых знаний в данной тематике. Для создания теста использовались: html, css, javascript.
Информационная система прогнозирования рынка труда России методами машинного обучения (3 задачи в рамках одной большой темы исследования). Использовалась библиотека streamlit/Python 3.
Followed a quick youtube tutorial titled "Machine Learning Tutorial Python - 13: K Means Clustering Algorithm" by codebasic. Followed along with the example displayed in the videos about age vs income and independently did a k means cluster on iris dataset (petal length vs petal width).
Онлайн-библиотека где взаимодействие происходит по QR-code. It is based on Kadir Media's YouTube Tutorial.
Implementation of common clustering (K-Means and Gaussian Mixture Models), dimensionality reduction (Principal Component Analysis) and classification (Support Vector Machines) on the IRIS dataset using the SciKitLearn library in Python. Link to dataset: https://archive.ics.uci.edu/ml/datasets/iris
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Data-Driven Documents codes.
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