How to build an AI to predict churn using Hazlo?

Hazlo
3 min readMar 21, 2021

--

Most young startups face the issue of churn that hampers revenue growth, even as users grow manifold.

Churn is defined as the proportion of users who are lost during a specific time period. It can be measured either daily, monthly or weekly.

Hazlo has been built keeping in mind frequent use cases of startups and churn prediction is one of forte. So just follow the simple steps given below and build a robust churn prediction model, in seconds.

Step 1

Go to the Hazlo.ai website and make an account.

Step 2

Once you have made your account. Go to the dashboard and deploy a new dataset from the Dataset tab. You can also use a previously deployed dataset for your model.

Interact with your dataset on our dashboard.

Step 3

Go to Projects and deploy a new project. Name the project, select the data which you want to work with, in our case we are working with Telecom_customer_churn_info. Select the column which you want to predict from the drop-down menu. Here we have chosen Churn from our dataset.

In seconds, Hazlo will clean the dataset, build the model and host it for you.

Access

Interact with the model. Explore the Model Metrics, Model Structure and Get Predictions. You can also embed the model with a single line of code, using our HTML embeds.

Avail the Small Teams Plan for $49/month and get API access along with Hazlo bot integration into Slack and Discord. Converse with the AI in natural language and get predictions!

The time to build is now! Visit Hazlo.ai to get your very own AI in seconds!

--

--

Hazlo
Hazlo

Written by Hazlo

No-code platform for startups & SMBs to train, deploy & host machine learning models.

No responses yet