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🔖 Python Reference for Data Science and Machine Learning
PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning.
You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation.
It includes a search function, organization by difficulty level, cheat sheets, and checklists.
Link: https://py-ds-ml.ru/
#russian #ML
PY-DS-ML provides practical resources on 30 popular Python libraries for data analysis and machine learning.
You can quickly find the commands, syntax, and examples you need without having to search through extensive documentation.
It includes a search function, organization by difficulty level, cheat sheets, and checklists.
Link: https://py-ds-ml.ru/
#russian #ML
❤3
The correct way to learn is like this:
You simply need to solve problems and work on projects.
This approach was used in one of the best books on the fundamentals of statistics – and, incidentally, one of the few that I actually read.
It's very simple:
You read a chapter.
You solve all the problems related to that topic.
https://www.statlearning.com/
You simply need to solve problems and work on projects.
This approach was used in one of the best books on the fundamentals of statistics – and, incidentally, one of the few that I actually read.
It's very simple:
You read a chapter.
You solve all the problems related to that topic.
https://www.statlearning.com/
❤2