https://github.com/czs108/coursera-machine-learning
📈 Solutions for the course "Machine Learning" on Coursera.
Science Score: 18.0%
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Low similarity (3.5%) to scientific vocabulary
Keywords
artificial-intelligence
course
coursera
data-science
machine-learning
neural-network
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📈 Solutions for the course "Machine Learning" on Coursera.
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artificial-intelligence
course
coursera
data-science
machine-learning
neural-network
Created over 6 years ago
· Last pushed about 2 years ago
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README.md
"Machine Learning" Exercises On Coursera
Introduction

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:
- Supervised Learning
- Parametric, Non-Parametric Algorithms
- Support Vector Machines
- Kernels
- Neural Networks
- Unsupervised Learning
- Clustering
- Dimensionality Reduction
- Recommender Systems
- Deep Learning
Course Website
https://www.coursera.org/learn/machine-learning
Owner
- Name: Chenzs108
- Login: czs108
- Kind: user
- Location: Dublin, Ireland
- Company: Susquehanna International Group
- Website: https://www.linkedin.com/in/zhenshuo-chen
- Repositories: 4
- Profile: https://github.com/czs108
Software Development | Artificial Intelligence | Reverse Engineering. For more projects, see @Zhuagenborn.
Citation (CITATION.cff)
cff-version: 1.2.0 authors: - family-names: Chen given-names: Zhenshuo orcid: https://orcid.org/0000-0003-2091-4160 title: Machine Learning, Coursera date-released: 2022-02-24 url: https://github.com/czs108/Coursera-Machine-Learning