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Codeless Machine Learning and No-Code AI Applications

In Every Industry

Marketing

Predicting Purchase.

A large number of visitors come to your website every day, but you know that only a small percentage of them are likely to buy from you, most of them perhaps not going back. Right now you may be spending money to re-market to everyone, but perhaps we could use machine learning to identify the most valuable leads?

  • 1 for Yes
  • 0 for No
  • with probabilities
Test this model now!
You can test it live right now
Manufacturing & Production

Detect Anomalies in Manufacturing.

The situations that go wrong during a production can depend on many features. Enter any values and see if there is an anomaly in manufacturing.

  • is anomal: Yes
  • is anomal: No
  • with probabilities
Test this model now!
You can test it live right now
Sales & Services

Mobile Phone Price Classification.

A mobile phone's price range can be any range. With this example model, you can predict the price range probability.

  • Price: Too high
  • Price: High
  • Price: Low
  • Price: Too low
Test this model now!
You can test it live right now
Health & Medicine

Heart Disease Prediction.

With the data collected from thousands of people, you can predict whether there is a heart disease probability or not.

  • Heart Disease: Yes
  • Heart Disease: No
  • with probabilities
Test this model now!
You can test it live right now
Food & Beverage

Red Wine Quality.

The quality of a wine can depend on dozens of values. With this model created with the collected data, you can predict the quality of a wine in the range of 1 to 10.

  • Numerical
  • 1 to 10
Test this model now!
You can test it live right now
Technology

Laptop Price.

See how the price changes based on the values you choose. You can enter inches as decimal.

  • Numerical
  • Price (Euros)
Test this model now!
You can test it live right now
Finance & Investment

Financial Sentiment Analysis.

It is a model that examines financial news texts. Predicts whether the news is positive, neutral or negative. For example, if you type "RISING costs have forced packaging producer Huhtamaki to axe 90 jobs at its Hampshire manufacturing plant", it will guess that it is a negative text.

  • Sentiment: positive
  • Sentiment: negative
  • Sentiment: neutral
  • with probabilities
Test this model now!
You can test it live right now
Technology & Security

Spam or Not Spam Detection.

It is a model that predicts whether the message in the email box is spam. For example, if you type "Free entry in 2 a wkly comp to win FA Cup final", the model will say it's spam.

  • Spam
  • Not Spam
  • with probabilities
Test this model now!
You can test it live right now

Let's start with the simplest way.

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