Tagged pandas
Rebuilding evaluation calculations for recommendation systems
A lot of models work. Evaluation metrics tell us which ones work well.
Evaluation metrics describe how well a model predicts on unseen data, and are used in fine-tuning. In the Python package "implicit", the evaluation module returned errors for common metrics, such as Normalised Discounted Cumulative Gain (NDCG).
Youtube API Data Extraction
Extract video and channel data from search queries, and store them to a database.
For my first Python project, I wanted to understand popular video topics in a certain niche, and explore Youtube as a data source. One of the largest limitations to the project is the rate limit, which compelled me to consider an ETL process to avoid redundant extraction.