For this term, I learned a whole bunch about Natural Language Processing. From ways to clean our text data with various text preprocessing techniques, to the ways of representing text data that can be easily understood and analyzed by a machine learning model. The whole term has been enlightening to me, with me starting to get an idea on how these raw, unstructured, text data can be used in a machine learning model to generate insights.
The activities has been a challenging but insightful experiences, opening my eyes on how to properly write technical papers. I also strengthened my understanding these techniques in Python. My previous experiences in writing implementations for predictive models in Python gave me somewhat of an idea on how these implementations would work, and it only took me a little time to figure out how to make these processes.
Overall, I have managed to gain a great deal about NLP and how these processes would apply on a project. I am looking forward to learning more in the coming weeks, as I am expecting them to be as insightful as the ones previously.