Apply machine learning (ML) models on your data in Peliqan to perform predictions, detect outliers, etc.
Using ML involves 2 steps:
- Building / training a model
- Using the model to deliver predictions
How to build ML models
Basic ML prediction example
Lead Conversion
Churn Prediction
Sentiment Analysis
Detect Anomalies - Fraud Detection
How to deliver predictions to business teams
Write predictions to a table
Send alerts to Slack
Create an app for business users to get predictions
Write predictions to a SaaS app
Advanced ML topics
Synthetic data
Data enrichment