Our ML Process

1. 1

   Data Collection

   Gathering and preparing data for analysis.

2. 2

   Model Development

   Building and training machine learning models.

3. 3

   Testing

   Validating model performance and accuracy.

4. 4

   Deployment

   Integrating models into your systems.

5. 5

   Monitoring

   Tracking model performance and making improvements.