jumpingchu/30-Days-of-ML

【Kaggle Challenge】 Beginner-Friendly 30 Days of ML -- Level up in data science and machine learning

20
/ 100
Experimental

This project offers a structured, 30-day program to introduce individuals to machine learning and data science. It guides users through Python basics, essential machine learning concepts like model validation and overfitting, and culminates in beginner-friendly Kaggle competitions. The target audience is anyone new to data science who wants to learn how to build and evaluate predictive models using real-world datasets.

No commits in the last 6 months.

Use this if you are a beginner looking for a step-by-step introduction to machine learning and want to gain practical experience through competitions.

Not ideal if you already have a solid foundation in Python programming and machine learning concepts.

data-science-education machine-learning-beginner predictive-modeling data-analysis-training kaggle-competitions
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

How are scores calculated?

Stars

11

Forks

1

Language

Jupyter Notebook

License

Last pushed

Sep 04, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jumpingchu/30-Days-of-ML"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.