This post discusses the preliminary stages of a Python project that extracts data out of hundreds of Excel files, followed by sending them to SQL Server. Jupyter posed some unexpected network issues, and Spyder was a wonderful solution!
Using Python, I conducted a sentiment analysis of the Harry Potter book series by chapter and book using natural language processing (NLP). I also utilized a naive bayes classifier to detect trends in sentiment throughout the books.
Using Python, I cleaned all text data from the Harry Potter series to create a word cloud based on the cumulative word count. The end result was an artistic word cloud in a magical style fit for the Harry Potter universe.
I learned how to use Python by conducting exploratory data analysis on the Harry Potter book series using Natural Language Processing