solidglue/Machine_Learning_Sklearn_Examples
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
This project offers a practical guide to machine learning using Python and the Scikit-learn library, demonstrated through Jupyter Notebook examples. It walks you through common machine learning tasks, from data preparation and exploration to building and evaluating predictive models. The target audience is data scientists, analysts, or students looking for hands-on experience in applying machine learning concepts.
123 stars. No commits in the last 6 months.
Use this if you are a data professional or student who wants to learn and apply machine learning algorithms with practical, runnable Python code examples.
Not ideal if you are looking for a conceptual overview without code examples, or if you need an in-depth theoretical textbook on machine learning.
Stars
123
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/solidglue/Machine_Learning_Sklearn_Examples"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
jzsmoreno/likelihood
Code generated from the Machine Learning course to optimization tasks
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
x4nth055/pythoncode-tutorials
The Python Code Tutorials
john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019