> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peliqan.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Predictions, Machine Learning templates

> Learn how to build and apply machine learning models in Peliqan for predictions, conversion scoring, churn detection, sentiment analysis, anomaly detection, and more.

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](/low-code-python-data-apps/predictions-machine-learning-templates/basic-ml-prediction-example)
* [Lead Conversion](/low-code-python-data-apps/predictions-machine-learning-templates/lead-conversion)
* [Churn Prediction](/low-code-python-data-apps/predictions-machine-learning-templates/churn-prediction)
* [Sentiment Analysis](/low-code-python-data-apps/predictions-machine-learning-templates/sentiment-analysis)
* [Detect Anomalies - Fraud Detection](/low-code-python-data-apps/predictions-machine-learning-templates/detect-anomalies-fraud-detection)

## How to deliver predictions to business teams

* [Write predictions to a table](/low-code-python-data-apps/predictions-machine-learning-templates/write-predictions-to-a-table)
* [Send alerts to Slack](/low-code-python-data-apps/predictions-machine-learning-templates/send-alerts-to-slack)
* [Create an app for business users to get predictions](/low-code-python-data-apps/predictions-machine-learning-templates/create-an-app-for-business-users-to-get-predictions)
* [Write predictions to a SaaS app](/low-code-python-data-apps/predictions-machine-learning-templates/write-predictions-to-a-saas-app)

## Advanced ML topics

* [Synthetic data](/low-code-python-data-apps/predictions-machine-learning-templates/synthetic-data)
* [Data enrichment](/low-code-python-data-apps/data-enrichment)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.