At the end of this workshop, we have covered the following skills:
- How to use skills from the NLTK workshop to build features for a classification task
- How to build a text classification system that can predict whether sentences belong to one category ("news") or another ("romance")
- How to group data and perform calculations on the aggregations
- How to prepare data for machine learning using
pandas, a package for Python that helps to organize your data - How to use the
sklearn("scikit-learn") package for Python to perform different types of machine learning on the data - How to evaluate the results of machine learning algorithms
- How to visualize observations, aggregations, and algorithmic results
For further readings, projects, and advice, refer to the Resources page.