Quickly develop risk control algorithms in business scenarios based on MetaSpore

• MetaSpore

  11 629 3.7 Python

  A unified end-to-end machine intelligence platform

  

The evaluation problems related to financial loans are mainly based on tabular data, so the importance of feature engineering is self-evident. The common features in the dataset include ID type, Categorical type, and continuous number type, which require common data handling such as EDA, missing value completion, outlier processing, normalization, feature binning, and importance assessment. The process can reference the GitHub codebase: https://github.com/meta-soul/MetaSpore/blob/main/demo/dataset, which part about tianchi_loan instructions.

• InfluxDB

  www.influxdata.com featured

  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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