icoxfog417/mlnote-note
機械学習帳を学ぶノート
This project offers a daily learning curriculum to master the 'Machine Learning Notebook' textbook. Each day provides a summary slide of the content and hands-on practice problems hosted on Amazon SageMaker Studio Lab, so no local environment setup is needed. It's designed for students, researchers, or anyone looking to learn or deepen their understanding of machine learning concepts and applications.
222 stars. No commits in the last 6 months.
Use this if you want a structured, daily approach to learn machine learning concepts and practice them without worrying about complex software installations.
Not ideal if you prefer learning advanced machine learning topics like deep reinforcement learning, or if you already have a strong background in machine learning and are looking for research-level applications.
Stars
222
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/icoxfog417/mlnote-note"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aws-samples/aws-ai-ml-workshop-kr
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
ChandraLingam/AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to...
cu-sanjay/Amazon-ML-Summer-School-2025
Learn Machine Learning with Amazon's Summer School Program 2025. Access session summaries,...
Ditectrev/Amazon-Web-Services-Certified-AWS-Certified-Machine-Learning-MLS-C01-Practice-Tests-Exams-Question
⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by...
noahgift/aws-ml-guide
[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide