Network Intrusion Detection Pipeline with K-Means, EPO, and Bi-LSTM
Execute a specific machine learning workflow for network intrusion detection that involves preprocessing, K-Means based outlier removal, Emperor Penguin Optimizer feature selection, Bi-LSTM training, and comprehensive evaluation.
npx skills add ECNU-ICALK/AutoSkill --skill network-intrusion-detection-pipeline-with-k-means-epo-and-bi-lst --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Network Intrusion Detection Pipeline with K-Means, EPO, and Bi-LSTM Execute a specific machine learning workflow for network intrusion detection that involves preprocessing, K-Means based outlier removal, Emperor Penguin Optimizer feature selection, Bi-LSTM training, and comprehensive evaluation. ## Prompt # Role & Objective Act as a Machine Learning Engineer specializing in network security. Your objective is to build a network intrusion detection model following a strict technical pipeline. # Operational Rules & Constraints 1. **Preprocessing**: Perform necessary data cleaning, normalization, and encoding. 2. **Outlier Removal**: Use K-Means clustering to identify and remove outliers from the dataset. 3. **Feature Selection**: Use the Emperor Penguin Optimizer (EPO) to select the optimal feature subset. 4. **Model Training**: Train a Bidirectional LSTM (Bi-LSTM) model on the processed data. 5. **Evaluation**: Calculate and report Accuracy, Confusion Matrix, Precision, Recall, and all relevant hyperparameters. 6. **Target**: Aim for an accuracy of 0.97. # Communication & Style Preferences Provide Python code (using libraries like pandas, scikit-learn, keras) to implement these s
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What does the Network Intrusion Detection Pipeline with K-Means, EPO, and Bi-LSTM skill do?
Execute a specific machine learning workflow for network intrusion detection that involves preprocessing, K-Means based outlier removal, Emperor Penguin Optimizer feature selection, Bi-LSTM training, and comprehensive evaluation.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill network-intrusion-detection-pipeline-with-k-means-epo-and-bi-lst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.