Anfany/Machine-Learning-for-Beginner-by-Python3
A Python tutorial repository with sklearn and TensorFlow implementations of machine learning algorithms for beginners.
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This repository is an educational resource for machine learning beginners, providing instance-based code examples using sklearn and TensorFlow along with custom functions. It covers fundamental ML algorithms including linear regression, logistic regression, softmax regression, k-means clustering, neural networks, SVM, and decision trees, with real-world examples like Boston housing price prediction, heart disease classification, and Beijing PM2.5 forecasting.
Frequently asked
- What is Anfany/Machine-Learning-for-Beginner-by-Python3?
- A Python tutorial repository with sklearn and TensorFlow implementations of machine learning algorithms for beginners.
- Is Machine-Learning-for-Beginner-by-Python3 open source?
- Yes — Anfany/Machine-Learning-for-Beginner-by-Python3 is open source, released under the MIT license.
- What language is Machine-Learning-for-Beginner-by-Python3 written in?
- Anfany/Machine-Learning-for-Beginner-by-Python3 is primarily written in Python.
- How popular is Machine-Learning-for-Beginner-by-Python3?
- Anfany/Machine-Learning-for-Beginner-by-Python3 has 436 stars on GitHub.
- Where can I find Machine-Learning-for-Beginner-by-Python3?
- Anfany/Machine-Learning-for-Beginner-by-Python3 is on GitHub at https://github.com/Anfany/Machine-Learning-for-Beginner-by-Python3.