wizardforcel/data-science-notebook
:book: 每一个伟大的思想和行动都有一个微不足道的开始
This project offers a comprehensive collection of notes and guidance for navigating the data science field. It provides insights into common challenges and best practices, acting as a navigational chart for those starting or advancing their careers. Aspiring and current data scientists, analysts, and machine learning practitioners would find this useful.
270 stars. No commits in the last 6 months.
Use this if you are a data scientist seeking a structured guide to common challenges and successful approaches in your career journey.
Not ideal if you are looking for an open-source tool or code library rather than educational content.
Stars
270
Forks
95
Language
Shell
License
—
Category
Last pushed
Jul 22, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wizardforcel/data-science-notebook"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science