Projects

Apply your gained skills in your own work project.

You now have all the knowledge and tools available for your own machine learning work project. There are several posibilities to move on, e.g.:

Improve the predictions

The random forest models and predictions of the mean vegetation height in Unit 6 were not that great. You could now focus on improving the model by using additional predictors, more training data or multi-temporal satellite imagery.

Compare model types

You could compare random forest models with other model types like support vector machines or a neural networks.

Use different response variables

During the course we used the mean vegetation height as an example. Of course you can try to model a different LiDAR-derived index.

Comments?

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