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.
