awesome-machine-learning
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Suggestion: Add more examples to the documentation
Description: Is your feature request related to a problem? Please describe. The current documentation provides limited examples of how to use the library for real-world applications. This makes it challenging for new users to understand how to implement certain features.
Describe the solution you'd like I suggest adding more detailed examples, particularly for common use cases like data preprocessing, model training, and evaluation. This would greatly help new users get up to speed with the library.
Describe alternatives you've considered I've looked at third-party tutorials, but having official examples in the documentation would ensure they are up-to-date and accurate.
Additional context Including code snippets and possibly links to Jupyter notebooks with these examples would be very helpful.