For our friends in Fintech, assessing the probability of default on credit is crucial. For some firms, their entire business model depends on this metric.
Hazlo.ai is proficient in predicting credit default based on past user data. Further, Hazlo is a no-code user-friendly platform, so building your model is easier than using Excel.
We deploy state-of-the-art ML algorithms on our backend and deliver the most accurate, unbiased results, always.
Follow the below steps to build your credit default prediction model, powered by industry-grade AI.
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. Here we deploy a loan-default dataset, it’s available at https://bit.ly/3hND073 .
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 LoanDefault. Select the column which you want to predict from the drop-down menu. Here we have chosen loan_status 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!
