How can you determine the presence and level of noise a dataset has? How much is good?

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  • cleanlab

    The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

    There's an entire GitHub package being actively developed for this reason. If your data has labels and you can train a classifier on it or get embeddings, cleanlab has a bunch of useful features to analyze the noise in your dataset. Taken from the repo readme:

  • 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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