> For the complete documentation index, see [llms.txt](https://docs.shimoku.com/dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.shimoku.com/dev/artificial-intelligence/classification.md).

# Classification

## Overview

Shimoku introduces powerful classification capabilities through two primary functions: `train_classification` and `predict_classification`. These functions empower users to create and leverage machine learning models for a wide array of classification tasks.

Together, these functions form a comprehensive toolset for predictive analytics, from the initial training of a model to its application for practical, real-world predictions.

Whether you're new to machine learning or an experienced data scientist, our guides will walk you through the seamless process of training and deploying classification models, ensuring that you can harness the full potential of your data with our SDK.

## Some use cases

* **Cross-selling:** Personalized product suggestions to enhance customer value and increase sales opportunities.
* **Lead Scoring Prediction:** Evaluating potential customers' likelihood to convert, optimizing sales focus and resource allocation.
* **Churn Prediction:** Anticipating customer attrition to implement retention strategies and improve loyalty.
* **Fraud Detection: I**dentifying fraudulent activities swiftly to safeguard assets and maintain trust.
* **Credit Risk Scoring:** Assessing borrowers' creditworthiness to minimize defaults and optimize lending decisions.

## Get started

Jump into [Train Classification](/dev/artificial-intelligence/classification/train-classification.md) to get started now.


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