π΅οΈββοΈ Classifying Kickstarter Campaigns Utilizing NLP Feature Engineering Techniques π
π Hi!
My name is Mikiko Bazeley and this is my second capstone project: π¬ Classifying Kickstarter Campaigns Utilizing NLP Feature Engineering Techniques. π
From Oct 2018 to April 2019 I completed a number of projects, including this, as part of the Springboard Data Science Track. π§
For this project I incorporated NLP feature engineering techniques (Bag-of-Words, N-Grams and TFID-vectorizer) & the SpaCy π©π»βπ package to use both quantitative & text data to predict outcomes of Kickstarter campaigns π‘.
To find out more about this project, check out the attached presentation below!
βοΈ Jupyter notebook for project: LINK
βοΈ Final write up: LINK
βοΈ Slides presentation: LINK
For more information about my Springboard work: π All of the documentation, code, and notes can be found here, as well as links to other resources I found helpful for successfully completing the program.
π¬ For questions or comments, please feel free to reach out on LinkedIn.