Prepare Machine-Readable Text Data
In present days, the data being collected is becoming more unstructured than regular structured tabular data. Thus we need to learn how to process unstructured data, especially text data, to be able to feed into downstream machine learning or deep learning framework for prediction.
One of the first steps of working with text data is cleaning it! Although textual data is rich in useful content, most are highly disorganized, unstructured, and often contain noise.
Besides, data cleaning can also impact the explainability of explainable machine learning models such as LIME. …
I know there are already a large number of decent resources on the internet introducing Python multiprocessing. If you still haven't found a solution to your problem, or you just want to get the program running but get so confused by terms like threading, multi-threading, global interpreter lock (GIL), etc. Hope this article can be your last resort.
This guide will share and explain super simple but extremely useful multiprocessing code that you can directly supercharge your Python script immediately.
Let's get started with this question:
Multiprocessing is the use of multiple resources, in this case, processors or CPU cores…
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