What's included

• ML model

  This includes any files generated after training the ML model. These files are used to load the model on your own machine and use it to make predictions on the task.

• Code

  This includes code for all the applicable steps in the pipeline: - Data gathering - Data processing - Model training (and fine-tuning, if applicable) - Model inference (prediction) and evaluation

• Data (optional)

  If the data had to be gathered and I handled it, you will get all of it (in a processed form, if it is more convenient).

• Performance Breakdown

  The results obtained by the different models trained in an eye-candy way - I use Streamlit usually.

• Documentation

  A detailed README that describes everything you would need to use the other deliverables: - Where the model and data is - How to run the code - Small summary of the code and its different components