Automated ML Demonstration AutoML
Watch this step-by-step demonstration of creating and running an automated machine learning experiment in Azure ML Studio.
This demonstration guides you through the following:
📊 Data Upload
Uploading datasets and configuring the prediction task.
⚙️ Experiment Configuration
Setting up ML task types, compute targets, and experiment parameters including timeouts and iterations.
🔄 Training Process
Monitoring the training and analysis of models in real-time.
📈 Results Analysis
Evaluating model performance, comparing different algorithms, and saving your best performing model.
Independent Work
Repeat this process with some of your own data without any pre-processing, see how it performs and explore the logic behind the best performing model.