📅 2023-04-17 — Session: Planned Web Interaction and Data Analysis Sessions
🕒 15:50–16:00
🏷️ Labels: Web Scraping, Data Visualization, Modeling, Data Science, Best Practices
📂 Project: Teaching
Session Goal
The session aimed to plan and structure upcoming educational sessions on key data science topics, including web interaction techniques, [[data visualization]], exploratory data analysis, modeling, and model validation.
Key Activities
- Outlined sub-items related to web interaction techniques, such as web scraping and API usage, focusing on best practices and data formats.
- Provided a breakdown of sessions on web interaction and data formats, detailing specific topics and hands-on exercises.
- Structured sessions on [[data visualization]] and exploratory data analysis, focusing on visual design and best practices.
- Developed an outline for a modeling session, covering model selection, development, evaluation, and deployment.
- Planned sessions on model validation, focusing on evaluation metrics and hyperparameter tuning.
Achievements
- Successfully created a comprehensive plan for multiple sessions, ensuring coverage of essential topics in web interaction and data analysis.
Pending Tasks
- Finalize the curriculum details for each session, including specific exercises and resources.
- Schedule the sessions and confirm participant availability.