This blog post is written in the context of creating a text classification model. The objective is to build and train a text classification model to identify topics in a text. These topics are Kubernetes and Watson NLP. As the train and test data, we will use an export from my blog on wordpress.com. This data we will label this with the open-source tool called Label Sleuth.
A way to build a DataFrame from a DataFrame in a Jupyter Notebook with Python
This blog post contains an extract of a Jupyter Notebook and shows a way how to create a new DataFrame by building an extraction of two specific columns and their values of an existing DataFrame.
How to convert XML data to CSV in a Jupyter Notebook with Python?
This blog post contains an extract of a Jupyter Notebook related to how to convert XML data to comma separated value in a Jupyter Notebook.