Predictions, Machine Learning templates


Apply machine learning (ML) models on your data in Peliqan to perform predictions, detect outliers, etc.

Using ML involves 2 steps:

  1. Building / training a model
  2. 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