What are the benefits and limitations of using TinyDB for machine learning applications? Benefits:
* TinyDB is lightweight and easy to use, making it a good choice for small-scale machine learning projects.
* It stores data in JSON format, which is flexible and easy to work with.
* TinyDB supports indexing, which can improve query performance for large datasets.
* It can be used with a variety of programming languages, including Python, which is popular for machine learning.
Limitations :
* TinyDB is not designed for large-scale machine learning applications, as it may not be able to handle large volumes of data.
* It may not be suitable for applications that require complex queries or advanced data processing.
* TinyDB does not support SQL queries, which may be a limitation for some use cases.
