Documentation > Getting Started > Learning Paths

Learning Paths

Step-by-step tutorials for common use cases.

First-time users, BeginnersApprox. 45 mins

New User Onboarding

Essential steps from zero to first AI dashboard and model prediction in ML Clever.

Path Steps

  1. 1

    Interface Overview

    Get familiar with the ML Clever workspace.

    Go to Tutorial
  2. 2

    Connect Your Data

    Upload a CSV or connect a database.

    Go to Tutorial
  3. 3

    Explore Your Data

    Use built-in tools to understand the dataset.

    Go to Tutorial
  4. 4

    Generate AI Dashboard

    Create instant visualizations with one click.

    Go to Tutorial
  5. 5

    Train First AutoML Model

    Build a classification or regression model easily.

    Go to Tutorial
  6. 6

    Understand Predictions

    Interpret the results your model provides.

    Go to Tutorial
Users familiar with basicsApprox. 1 hour

AutoML Mastery

Dive deeper into automated machine learning for classification and regression tasks.

Path Steps

  1. 1

    AutoML Concepts

    Review the core ideas behind AutoML.

    Go to Tutorial
  2. 2

    Train Classification Model

    Predict categories (e.g., churn).

    Go to Tutorial
  3. 3

    Train Regression Model

    Predict numbers (e.g., sales).

    Go to Tutorial
  4. 4

    Interpret AutoML Results

    Evaluate metrics and feature importance.

    Go to Tutorial
  5. 5

    Deploy & Monitor

    Make models available and track performance.

    Go to Tutorial

Need Guidance?

Unsure which path is right? Need help with a step? We're here to assist.

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Last updated: 5/3/2025

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