BindiChen/machine-learning
Practical Full-Stack Machine Learning
This project provides practical guides and code examples to help data professionals, analysts, and scientists effectively prepare and analyze various types of data. It helps you take raw data, such as CSVs, JSON, or HTML tables, and transform it into a clean, structured format ready for analysis or machine learning models. The output is refined data, ready for further insights or model building.
709 stars. No commits in the last 6 months.
Use this if you are a data analyst or data scientist looking for clear, practical examples to handle common data manipulation and preparation tasks.
Not ideal if you are looking for an automated, one-click solution or a theoretical overview without hands-on code examples.
Stars
709
Forks
474
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BindiChen/machine-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a...
Tanu-N-Prabhu/Python
This repository helps you learn Python and Machine Learning from scratch.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine...
github/codespaces-jupyter
Explore machine learning and data science with Codespaces
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion