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Курс с домашними заданиями по Pandas, NumPy, Matplotlibhttps://elearn.urfu.ru/course/view.php?id=8917
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Соревнование — домашнее задание Scikit-learnhttps://www.kaggle.com/competitions/cars-1-hw
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Соревнование — домашнее задание Zero Shot Image Classificationhttps://www.kaggle.com/competitions/hw-2-zero-shot-image-classification
GitHubhttps://github.com/MVRonkin/BasicDataAnalysisCourse/blob/main/Workshops/basic%20competitions/baseline_hw2.ipynb
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Соревнование — домашнее задание Question and Answeringhttps://www.kaggle.com/competitions/hw-3-questions-and-answering/
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vehicle-dataset 1https://www.kaggle.com/datasets/nehalbirla/vehicle-dataset-from-cardekho/data
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carshttps://www.kaggle.com/datasets/hydramst/cars-moldova
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herehttps://www.kaggle.com/discussions/getting-started/44088
500+ вопросов собеседований: SQL, Python, A/B, статистика, теория вероятностей, продуктовое мышление и дрhttps://interview-questions-app-production.up.railway.app/
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Долганов, М. В. Ронкин, А. В. Созыкин Базовые алгоритмы машинного обучения на языке Python : учебно-методическое пособиеhttps://elar.urfu.ru/handle/10995/122740
Открытый курс машинного обученияhttps://habr.com/ru/companies/ods/articles/322626/
Дмитрий Макаров Анализ и обработка данныхhttps://www.dmitrymakarov.ru/data/
Обучение моделиhttps://www.dmitrymakarov.ru/learning/
Дьяконов А.Г. Машинное обучение и анализ данныхhttps://github.com/Dyakonov/MLDM_BOOK
анлиз малых даннхhttps://alexanderdyakonov.wordpress.com/
Учебник по машинному обучению ШАДhttps://education.yandex.ru/handbook/ml
Китов В.В. Машинное обучениеhttps://deepmachinelearning.ru/docs/Machine-learning/book-title
Kaggle Intro to Machine Learninghttps://www.kaggle.com/learn/intro-to-machine-learning
другие курсыhttps://www.kaggle.com/learn
обзор платформы kagglehttps://habr.com/ru/companies/skillfactory/articles/851814/
и тутhttps://tproger.ru/translations/kaggle-competitions-introduction
тутhttps://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introduction
Python for Data Analysis, 3Ehttps://wesmckinney.com/book/
Machine Learning Crash Coursehttps://developers.google.com/machine-learning/crash-course
1https://github.com/eriklindernoren/ML-From-Scratch
2https://dafriedman97.github.io/mlbook/content/introduction.html
3https://www.kaggle.com/code/egazakharenko/all-popular-ml-algorithms-from-scratch-in-python
on napkinhttps://github.com/eriklindernoren/NapkinML
12 материалов по EDA от Yandexhttps://habr.com/ru/companies/yandex_praktikum/articles/879316/
https://www.sscardapane.it/alice-book/https://sscardapane.notion.site/Guided-lab-sessions-18c25bd12a8c8068b972f7612fcde8d5
Ivan Alexandrov ML Competetionhttps://www.kaggle.com/ivanblch/code
Метрики в MLhttps://habr.com/ru/articles/821547/
Anomaly Metricshttps://habr.com/ru/companies/rosatom/articles/687270/
пособие по визуализации данныхhttps://royal-statistical-society.github.io/datavisguide/
Создание умных AI-агентов: полный курс по LangGraph от А до Я. Часть 1.https://habr.com/ru/companies/amvera/articles/933460/
Часть 2https://habr.com/ru/companies/amvera/articles/948000/
Часть 3https://habr.com/ru/companies/amvera/articles/949376/
Что такое AI-агент и из каких основных частей он состоитhttps://habr.com/ru/articles/951428/
Data Science Glosaryhttps://c3.ai/glossary/data-science/
Interactive Data Visualization with Pythonhttps://blog.tidy-intelligence.com/posts/interactive-data-visualization-with-python/
AnatomyOfMatplotlibhttps://github.com/matplotlib/AnatomyOfMatplotlib
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Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.