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Name: Ruslan_Trifonov
Type: User
Ruslan_Trifonov's Projects
islr-python-1
islr-ru
Приложения к книге "Введение в статистическое обучение с примерами на языке R"
java_for_beginners_course_1
Java для начинающих с нуля до сертификата Oracle
karpov-analytics-course-2021
data analysis, visualization, a/b tests, advanced pandas, API (google, VK, telegram bot)
karpov_courses
🐳 Проектная деятельность. Здесь хранятся лекции, практические задания и проекты с karpov_courses. Ссылка: https://karpov.courses/
learn-algorithmic-trading
Learn Algorithmic Trading, Published by Packt
libraries_python-coursgb
Курс Geegbrains по билиотекам Python Библиотеки Python для Data Science: Numpy, Matplotlib, Scikit-learn
llm_practical_course
machine-learning-engineering-with-mlflow
Machine Learning Engineering with MLflow, published by Packt
machine-learning-in-business
Курс GB - Машинное обучение в бизнесе
marketing_analytics_and_balanced_score_card
masiv
Masive Senior Data Scientist Assessment
my_projects
Connection to Web data source
nlp_course
YSDA course in Natural Language Processing
plotly-superstore
Dashboard built on Superstore dataset
powerbi-book-ru
Проект открытого методического пособия по Power BI, Power Query, Power Pivot
pyalgotrading
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
python-libraries-for-data-science-continued
Библиотеки Python для Data Science: продолжение - Курс GB
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
pythonlibrariesfordatascience2
Библиотеки Python для Data Science: продолжение
recommendation_systems_gb
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
scrapybook
Scrapy Book Code
skillfactory_product_anlytics
statistical_learning
Learning Static Learning
stepic_data_analysis_in_r
superset-quick-start-guide
Superset Quick Start Guide, published by Packt
terver
Теория вероятностей и математическая статистика
test_task_computer_vision
Тестовое задание для центра компетенций НТИ по технологиям хранения и анализа больших данных на базе МГУ
training_repository_trifonovrs
This repository is designed to develop my skills and study various topics, sections and tools of Data Science, Data Analytics, Machine Learning and Deep Learning
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