Implementing Classification with t6 IoT and Machine Learning

Learn how to leverage the machine learning capabilities of the t6 IoT platform to classify data into positive and negative classes, enabling you to make informed decisions and extract valuable insights from your IoT applications.

In this tutorial, we will explore how to utilize the machine-learning features of the t6 IoT platform to classify data into positive and negative classes. By harnessing the power of machine-learning algorithms, you can make accurate predictions and gain valuable insights from your IoT data.

Follow these steps to classify integers as “Positive” or “Negative” using the t6 IoT machine-learning process:

1. Data Collection and Integration
2. Customization and Model Configuration
3. Training and Evaluation
4. Predict Class using the model

Read the full article with detailed Api endpoints.

For further information and support, refer to our Technical documentation.