Quick Start Guide

This quickstart guide will walk you through the process of creating a Brisk project. It will cover the basics of how projects are organized and show you how to train models using Brisk.

Brisk is a framework that aims to make scikit-learn more accessible and easier to use by providing a more structured approach to experimentation. It provides built-in evaluation methods, plotting methods, and other tools. The goal is to make it easier for non-programmers get started with machine learning by reducing the amount of code you need to write and maintain.

This guide will walk you through the process of creating a Brisk project, setting up all the necessary configurations, training some models, and evaluating results. This guide is focused on using Brisk and will not go in depth on the machine learning concepts. Brisk is a tool that helps you experiment with machine learning models but it does not replace the need to understand the underlying concepts.