G2M Insights

This how-to guide assumes you have not yet run your first model using the G2M platform. Let's first make sure you have a login and have access to the service at <a href="https://app.g2m.ai/" rel="nofollow noopener noreferrer" target="_blank">https://app.g2m.ai</a>. If you don't, feel free to reach out to us in the chat widget below or at <a href="mailto:support@g2m.ai" rel="nofollow noopener noreferrer" target="_blank">support@g2m.ai</a>.

Once you log in check in your Settings page that you have access to either a <a href="https://support.g2m.ai/en/articles/8891151-what-analytics-engines-can-i-use">dedicated or shared analytics engine</a>. Finally, make sure you have a test dataset you can use to practice building models. Feel free to download one of the publicly available datasets:

<a href="https://g2mstaticfiles.blob.core.windows.net/%24web/titanic.csv" rel="nofollow noopener noreferrer" target="_blank">Titanic dataset</a>

<a href="https://g2mstaticfiles.blob.core.windows.net/%24web/telco-churn.csv" rel="nofollow noopener noreferrer" target="_blank">Telecom churn dataset</a>

<a href="https://g2mstaticfiles.blob.core.windows.net/%24web/retail-banking.csv" rel="nofollow noopener noreferrer" target="_blank">Retail banking dataset</a>

<a href="https://www.kaggle.com/datasets/rodsaldanha/arketing-campaign" rel="nofollow noopener noreferrer" target="_blank">Marketing campaign dataset</a>

- <a href="https://g2mstaticfiles.blob.core.windows.net/%24web/titanic.csv" rel="nofollow noopener noreferrer" target="_blank">Titanic dataset</a>
- <a href="https://g2mstaticfiles.blob.core.windows.net/%24web/telco-churn.csv" rel="nofollow noopener noreferrer" target="_blank">Telecom churn dataset</a>
- <a href="https://g2mstaticfiles.blob.core.windows.net/%24web/retail-banking.csv" rel="nofollow noopener noreferrer" target="_blank">Retail banking dataset</a>
- <a href="https://www.kaggle.com/datasets/rodsaldanha/arketing-campaign" rel="nofollow noopener noreferrer" target="_blank">Marketing campaign dataset</a>

You are now ready to get started! You can go next to one of the following tutorials: 

<a href="https://support.g2m.ai/en/articles/8892579-how-to-build-a-propensity-model-using-the-titanic-dataset-csv-method">How to build a propensity model using the Titanic dataset (CSV method)</a>

<a href="https://support.g2m.ai/en/articles/8892606-how-to-build-a-propensity-model-using-the-marketing-campaign-dataset-csv-method">How to build a propensity model using the Marketing Campaign dataset (CSV method)</a>

<a href="https://support.g2m.ai/en/articles/8891034-how-to-build-a-clustering-model-using-the-telecom-churn-dataset-csv-method">How to build a clustering model using the Telecom Churn dataset (CSV method)</a>

Check <a href="https://support.g2m.ai/en/collections/8173967-tutorials">here</a> for more tutorials!

- <a href="https://support.g2m.ai/en/articles/8892579-how-to-build-a-propensity-model-using-the-titanic-dataset-csv-method">How to build a propensity model using the Titanic dataset (CSV method)</a>
- <a href="https://support.g2m.ai/en/articles/8892606-how-to-build-a-propensity-model-using-the-marketing-campaign-dataset-csv-method">How to build a propensity model using the Marketing Campaign dataset (CSV method)</a>
- <a href="https://support.g2m.ai/en/articles/8891034-how-to-build-a-clustering-model-using-the-telecom-churn-dataset-csv-method">How to build a clustering model using the Telecom Churn dataset (CSV method)</a>
- Check <a href="https://support.g2m.ai/en/collections/8173967-tutorials">here</a> for more tutorials!

This article will help you get started with the G2M platform by picking a dataset and a tutorial on how to build a machine learning model

Getting started with the G2M platform

Pre-requisites

Start with a tutorial