Pinned Loading

1. NLP-sentence-encoders NLP-sentence-encoders Public

   Highlights trade-offs and optimizations to take into account when using sentence encoder models to predict essay scores.

   Jupyter Notebook

2. NLP-spelling-mistake-feature-engineering NLP-spelling-mistake-feature-engineering Public

   Experiments with different methods in an attempt to create a more accurate spelling mistake ML feature.

   Jupyter Notebook

3. NLP-unique-words-feature-engineering NLP-unique-words-feature-engineering Public

   Shows how a negative correlation between unique words and essay scores is actually due to spelling mistakes.

   Jupyter Notebook

4. NLP-initial-feature-engineering NLP-initial-feature-engineering Public

   A notebook showing that a number of simple ML features can be extracted from text data before using more advanced techniques.

   Jupyter Notebook

5. NLP-punctuation-feature-engineering NLP-punctuation-feature-engineering Public

   Demonstrates how careful selection can be more useful than including everything when making a punctuation feature.

   Jupyter Notebook

6. NLP-TF-IDF NLP-TF-IDF Public

   Outlines a series of optimization experiments to take into account when using TF-IDF to predict essay scores.

   Jupyter Notebook