AI Notebooks - Tutoriel - Construire votre classificateur de spam (EN)

Objective

This tutorial will show you how to build a simple spam classifier with OVHcloud AI Notebooks. You will be able to learn the concepts of logistic regression, dimension reduction, stop words, quantiles and much more. A very simple Machine Learning model will be used: the logistic regression.

At the end of this tutorial, you will have learnt the principal methods to build your own spam classifier.

Requirements

• Access to the OVHcloud Control Panel
• An AI Notebooks project created inside a Public Cloud project in your OVHcloud account
• A user for AI Notebooks

Instructions

You can launch your notebook from the OVHcloud Control Panel or via the ovhai CLI.

Launching a Jupyter notebook with "Miniconda" via UI

To launch your notebook from the OVHcloud Control Panel, refer to the following steps.

Code editor

Choose the Jupyterlab code editor.

Framework

In this tutorial, the Miniconda framework is used.

You can choose the conda version you want.

Resources

You can choose the number of CPUs or GPUs you want.

Launching a Jupyter notebook with "Miniconda" via CLI

If you want to launch it with the CLI, choose the jupyterlab editor and the conda framework.

To access the different versions of conda available, run the following command.

ovhai capabilities framework list -o yaml

Choose the number of CPUs (<nb-cpus>) to use in your notebook and use the following command.

ovhai notebook run conda jupyterlab \
    --name <notebook-name> \
    --framework-version <conda-version> \
  --cpu <nb-cpus>

You can then reach your notebook’s URL once the notebook is running.

Accessing the notebook

Once the repository has been cloned, find your notebook by following this path: ai-training-examples > notebooks > natural-language-processing > text-classification > miniconda > spam-classifier > notebook-spam-classifier.ipynb.

A preview of this notebook can be found on GitHub here.

Go further

• If you are interested in NLP (Natural Language Processing), familiarise yourself with speech to text by following this tutorial.

If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link to get a quote and ask our Professional Services experts for a custom analysis of your project.

Feedback

Please send us your questions, feedback and suggestions to improve the service:

• On the OVHcloud Discord server