🗓️ Week 10 - Unstructured Data (Text, Audio, Video)

DS105 - Data for Data Science

Here’s what to expect from this week’s lecture (and the week).

• The first part will be about extracting more useful information from text data. I will be using some spaCy tutorials (the equivalent in R is quanteda).
  • The goal is to help you get rid of for loops in your codes as much as possible.
• The second part of the lecture today will be dedicated to support you with your projects. Use this time to work on your projects, I will go around providing help and assistance or helping you find the right tools for what you want to produce.

Bring your questions and challenges. At this stage of the course, we can adapt to the needs of your projects.

Lectures will take a place at PAR.LG.03. Join us Tuesday, 29 November 2022 from 4 pm to 6 pm.

Links

• 👨‍🏫 Lecture

• ✅ Week 10 Checklist

• 💻 Lab roadmap

• 🖋️ Week 11 presentation - Marking Criteria

Older links that are relevant to your projects

• 🔖 Week 05 - Appendix

• 👨‍🏫 Week 08 lecture