[OC] [UPDATE - BUGFIX] I analyzed 15 most frequently used ingredients in recipes from 10 world cuisines (recipes from BBC Food)

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  • Analyzing_world_cuisines

    In this repository I share my end-to-end project. Scraping data, analyzing data, fitting a model, evaluating a model.

  • The repo can be found here. There was a critical bug that incorrectly labeled recipes with cuisines. For those interested, the pandas python library apparently automatically does an inner merge with indexes if you add a column, as opposed to simply concatenating two dataframes.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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