A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.
Is this the only way to do it or is there a possibility to maybe deal with null values and/or replace them, so that the unigram_df attribute still works without an error message?
The current input command reads "from datapurifier import Nleda" but I think it needs to read "from datapurifier import Nlpeda", otherwise it will not work, there will be thrown an import error.