orbxball/ML2017
2017 Spring (105-2) -- Machine Learning
This repository provides example solutions for various machine learning problems encountered in a university course. It demonstrates how to predict outcomes like air quality (PM2.5) from environmental data, classify image sentiment, or predict movie ratings. These examples are useful for students or individuals learning about fundamental machine learning techniques.
No commits in the last 6 months.
Use this if you are a student or learner looking for practical examples to understand core machine learning concepts and their application to different data types.
Not ideal if you need a production-ready solution or a cutting-edge implementation for complex, real-world problems.
Stars
38
Forks
10
Language
JavaScript
License
—
Category
Last pushed
May 11, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/orbxball/ML2017"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mathworks/MATLAB-Simulink-Challenge-Project-Hub
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project...
MalayAgr/generative-ai-with-llms-notes
Notes for the course Generative AI With Large Language Models, offered by DeepLearning.AI on Coursera
TheAlgorithms/MATLAB-Octave
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the...
UBC-CS/cpsc330-2022W1
CPSC 330: Applied Machine Learning
apachecn/ntu-hsuantienlin-ml
:book: 台湾大学林轩田机器学习笔记