Kunal-Kumar-Sahoo/DS-for-Dummies
Collection of notebooks describing common use cases of some important Python libraries for Data Science and Machine learning
This is a collection of example notebooks that explain how to use essential Python tools for data analysis and machine learning. It takes raw data and demonstrates how to transform, analyze, and visualize it to gain insights or build predictive models. This resource is for anyone learning data science or machine learning, especially those getting started with Python.
No commits in the last 6 months.
Use this if you are a beginner in data science or machine learning and want to understand practical applications of core Python libraries with real-world examples.
Not ideal if you are an experienced data scientist looking for advanced, niche algorithms or production-ready codebases.
Stars
16
Forks
8
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 01, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Kunal-Kumar-Sahoo/DS-for-Dummies"
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