Pinned Repositories
-Template-
Различные шаблоны для работы в Data Science
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
airflow101
Материалы курса Airflow 101
hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
Java_for_beginners_course_1
Java для начинающих с нуля до сертификата Oracle
Statistical_learning
Learning Static Learning
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
TrifonovRS.Data_Analysiss_Portfolio.github.io
This portfolio was created in the process of studying data analysis to illustrate my progress and skills.
TrifonovRS.Deep_Learning_Portfolio.github.io
This portfolio was created in preparation for certification for the TensorFlow Developer
TrifonovRS.Machine_Learning_Portfolio.github.io
This portfolio was created in the process of studying machine learning to illustrate my progress and skills.
rttrif's Repositories
rttrif/hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
rttrif/-Template-
Различные шаблоны для работы в Data Science
rttrif/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
rttrif/airflow101
Материалы курса Airflow 101
rttrif/Data-Analysis-in-MATLAB-2018
Материалы к серии роликов “Анализ данных в MATLAB”. Демонстрация возможностей MATLAB в части анализа данных.
rttrif/Data-Base
Обучение на курсе Базы данных в GeekBrains
rttrif/Data-Processing-and-Feature-Engineering-with-MATLAB
Coursera Course offered by Mathworks
rttrif/Data-Science-Portfolio
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
rttrif/data_mining_GB
Методы сбора и обработки данных из сети Интернет
rttrif/GB---Theory-of-Probability-and-Mathematical-Statistics
Курс Geegbrains - Теория вероятностей и математическая статистика
rttrif/GB-Lineare-Algebra
rttrif/GB_Data_analysis_algorithms
Алгоритмы анализа данных
rttrif/geek_prob
Теория вероятностей и математическая статистика
rttrif/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
rttrif/ISLR-Matlab
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Matlab code
rttrif/islr-python-1
rttrif/Karpov-analytics-course-2021
data analysis, visualization, a/b tests, advanced pandas, API (google, VK, telegram bot)
rttrif/Learn-Algorithmic-Trading
Learn Algorithmic Trading, Published by Packt
rttrif/Libraries_Python-CoursGB
Курс Geegbrains по билиотекам Python Библиотеки Python для Data Science: Numpy, Matplotlib, Scikit-learn
rttrif/Machine-learning-in-business
Курс GB - Машинное обучение в бизнесе
rttrif/plotly-superstore
Dashboard built on Superstore dataset
rttrif/PowerBI-book-ru
Проект открытого методического пособия по Power BI, Power Query, Power Pivot
rttrif/Python-libraries-for-Data-Science-continued
Библиотеки Python для Data Science: продолжение - Курс GB
rttrif/PythonLibrariesForDataScience2
Библиотеки Python для Data Science: продолжение
rttrif/Recommendation_systems_GB
rttrif/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
rttrif/Superset-Quick-Start-Guide
Superset Quick Start Guide, published by Packt
rttrif/terver
Теория вероятностей и математическая статистика
rttrif/TrifonovRS.portfolio_v2.github.io
The portfolio presents projects carried out in the process of mastering and developing the basic skills of preparing and analyzing data, building and deploying machine and deep learning models.
rttrif/Wonderobe_test_task