Homemade Machine Learning Skill
by @bytesagain-lab
Machine learning skill: find, explain, and implement ML algorithms with interactive Jupyter Notebook links. Covers linear regression, logistic regression, ne...
clawhub install homemade-machine-learning-skill📖 About This Skill
name: homemade-machine-learning-skill description: "Machine learning skill: find, explain, and implement ML algorithms with interactive Jupyter Notebook links. Covers linear regression, logistic regression, neural network, K-Means clustering, anomaly detection — with math, Python code, and skill demos." version: "1.0.0" author: "BytesAgain" homepage: "https://bytesagain.com/skill/homemade-machine-learning-skill" tags: ["machine learning", "jupyter notebook", "python", "data science", "education", "linear regression", "neural network", "skill"]
Homemade Machine Learning Skill
Machine learning skill: learn, explain, and implement ML algorithms from scratch. Based on trekhleb/homemade-machine-learning (MIT, 22k+ ⭐)
> 📦 Install: clawhub install homemade-machine-learning-skill
5 algorithms · 11 interactive notebooks · math explained · Python code included
Commands
explain — 解释算法原理 + 数学 + 代码
bash scripts/ml-notebook-finder.sh explain "linear regression"
bash scripts/ml-notebook-finder.sh explain "neural network"
bash scripts/ml-notebook-finder.sh explain "kmeans"
notebook — 获取交互式 Jupyter Notebook 链接
bash scripts/ml-notebook-finder.sh notebook "logistic regression"
bash scripts/ml-notebook-finder.sh notebook "anomaly detection"
code — 获取 Python 实现代码片段
bash scripts/ml-notebook-finder.sh code "linear regression"
bash scripts/ml-notebook-finder.sh code "kmeans"
path — 生成学习路径（按难度排序）
bash scripts/ml-notebook-finder.sh path beginner
bash scripts/ml-notebook-finder.sh path intermediate
bash scripts/ml-notebook-finder.sh path advanced
list — 列出所有算法
bash scripts/ml-notebook-finder.sh list
Algorithms
| Algorithm | Type | Notebooks | Use Case | |-----------|------|-----------|----------| | linear regression | supervised | 3 | price prediction, forecasting | | logistic regression | supervised | 4 | classification, MNIST | | neural network (MLP) | supervised | 2 | image recognition, deep learning | | k-means | unsupervised | 1 | clustering, segmentation | | anomaly detection | unsupervised | 1 | fraud detection, monitoring |