Predictive Analytics API Documentation 📊
Welcome to the Predictive Analytics API section of the AI Toolkit! This endpoint provides powerful tools for data-driven forecasting and trend analysis.
🔧 Key Features
- Real-time data processing with advanced algorithms
- Customizable prediction models (regression, time-series, etc.)
- Interactive visualization outputs
- Scalable architecture for large datasets
📌 Request Method
Use GET to access this API. Example:
GET /ai_toolkit/en/docs/api/predictive_analytics?dataset_id=12345&timeframe=30d
🧾 Parameters
| Parameter | Description |
|---|---|
dataset_id |
Unique identifier for your dataset (required) |
timeframe |
Prediction window in days (default: 7d) |
model_type |
Specify model (e.g., linear, random_forest, neural_network) |
📝 Example Usage
curl "https://your-api-url.ai_toolkit/en/docs/api/predictive_analytics?dataset_id=12345&timeframe=30d"
import requests
response = requests.get("/ai_toolkit/en/docs/api/predictive_analytics", params={"dataset_id": "67890", "model_type": "neural_network"})
print(response.json())
🌐 Expand Your Knowledge
For deeper insights into machine learning techniques:
Explore Machine Learning API
Need help with dataset preparation?
Check our Data Science Guide
Let us know if you'd like to see a demo of the API in action! 😊