The recommended articles the author has read this week.
Understanding Pandas Melt — pd.melt()
pd.melt() may be unfamiliar to a python beginner. It might be familiar for us to convert a long DataFrame into a wide DataFrame as preprocessing. Note that examples of a long DataFrame and a wide DataFrame are described in this article. We use the pd.melt() function when performing its inverse conversion, i.e., converting a wide DataFrame into a long DataFrame. I sometimes encounter to use this function when I analyze stock prices. You may have an opportunity to use it.
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
An article introducing a notable PyTorch-based library. PyTorch is a library for deep learning, however, Pytorch Tabular is a library for table data. In general, tree-based methods are popular for table data. Therefore, it is worth checking that the new library, based on the deep learing library, has appeared.