jadianes/data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
These tutorials demonstrate how to perform various data analysis tasks using both R and Python, comparing their approaches. You'll learn to handle datasets, aggregate information, and build statistical models. This resource is for data scientists, analysts, or anyone looking to expand their practical skills in data science engineering with real-world examples.
618 stars. No commits in the last 6 months.
Use this if you are a data professional who wants to understand how to apply data science concepts in both R and Python, using hands-on examples with real-world datasets.
Not ideal if you are looking for a conceptual overview without practical coding examples, or if you prefer to specialize in only one programming language (R or Python).
Stars
618
Forks
253
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jadianes/data-science-your-way"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science