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機器學習

1913 skills in 數據與 AI > 機器學習

server-side-rendering

Implement server-side rendering with template engines, view layers, and dynamic content generation. Use when building server-rendered applications, implementing MVC architectures, and generating HTML on the server.

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

Classification Modeling

Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

Model Hyperparameter Tuning

Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

frontend-accessibility

Implement WCAG compliance using semantic HTML, ARIA, keyboard navigation, and screen reader support. Use when building inclusive applications for all users.

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

ML Model Training

Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

architecture-diagrams

Create system architecture diagrams using Mermaid, PlantUML, C4 model, flowcharts, and sequence diagrams. Use when documenting architecture, system design, data flows, or technical workflows.

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

mobile-first-design

Design for mobile devices first, then scale up to larger screens. Create responsive interfaces that work seamlessly across all device sizes.

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

Model Monitoring

Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

Regression Modeling

Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

ML Model Explanation

Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

ui-ux-pro-max

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.

julianromli/opencode-template
25
5
更新於 4d ago

Clustering Analysis

Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning

aj-geddes/useful-ai-prompts
25
1
更新於 4d ago

scikit-learn

Machine learning library. Use when building predictive models, classification, regression, or clustering.

benchflow-ai/skillsbench
24
9
更新於 4d ago

playwright

Browser automation with Playwright for modern web scraping. Use this skill for scraping JavaScript-rendered pages, handling complex interactions, managing multiple browser contexts, or testing web applications. NOT needed for static HTML parsing or processing already-fetched content.

benchflow-ai/skillsbench
24
9
更新於 4d ago

jinja2-templating

Generate documents from templates. Use for dynamic HTML, reports, emails, or any templated output.

benchflow-ai/skillsbench
24
9
更新於 4d ago

yaml

YAML data serialization format. Use when reading/writing VM configuration files or structured data.

benchflow-ai/skillsbench
24
9
更新於 4d ago

selenium

Automate browser interactions using Selenium WebDriver. Use this skill when you need to interact with dynamic JavaScript-heavy websites, fill forms, click buttons, handle authentication, or scrape content that requires browser rendering. NOT needed for static HTML parsing or processing already-fetched content.

benchflow-ai/skillsbench
24
9
更新於 4d ago

json-parsing

JSON and YAML parsing, manipulation, and serialization. Use when reading configuration files, parsing API responses, or converting between data formats.

benchflow-ai/skillsbench
24
9
更新於 4d ago

puppeteer

Browser automation with Puppeteer for Node.js/JavaScript environments. Use this skill for controlling Chrome/Chromium in JavaScript projects, generating PDFs, taking screenshots, or scraping JavaScript-rendered content in Node.js. NOT needed for Python projects, static HTML parsing, or processing already-fetched content.

benchflow-ai/skillsbench
24
9
更新於 4d ago

config-generation

Generate configuration files. Use for creating YAML, TOML, JSON, or INI config files.

benchflow-ai/skillsbench
24
9
更新於 4d ago