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ML2023
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README.md
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ML2023
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# ML basics ## Введение в машинное обучение ## Программа курса * [Введение в анализ данных и машинное обучение](https://github.com/vadim0912/ML2023/tree/master/lecture01) * [Задачи классификации и регрессии I](https://github.com/vadim0912/ML2023/tree/master/lecture02) * [Задачи классификации и регрессии II](https://github.com/vadim0912/ML2023/tree/master/lecture03) * [Оценка качества моделей и работа с признаками](https://github.com/vadim0912/ML2023/tree/master/lecture04) * [Работа с текстовыми данными I](https://github.com/vadim0912/ML2023/tree/master/lecture05) * [Обучение без учителя](https://github.com/vadim0912/ML2023/tree/master/lecture06) * [Ансамбли моделей](https://github.com/vadim0912/ML2023/tree/master/lecture07) * [Работа с текстовыми данными II](https://github.com/vadim0912/ML2023/tree/master/lecture08) * [Рекомендательные системы](https://github.com/vadim0912/ML2023/tree/master/lecture09) * Работа с гео-данными * [Анализ графов](https://github.com/vadim0912/ML2023/tree/master/lecture11) * [Анализ сигналов](https://github.com/vadim0912/ML2023/tree/master/lecture12)
