Comparing Strings (Street Names) With Machine Learning

• jellyfish

  3 1,990 6.8 Jupyter Notebook

  🪼 a python library for doing approximate and phonetic matching of strings.

When comparing strings (in our case street names), there are plenty of off-the-shelf features that can be used, such as those provided by the jellyfish. This package also provides a number of phonetic encodings. We can combine an encoding with a metric, such as Levenshtein Distance, to measure the phonetic similarity between two street names.

• shap

  38 21,580 9.4 Jupyter Notebook

  A game theoretic approach to explain the output of any machine learning model.

  

As more features are added to a model, the longer it will take to make a prediction. To help you find a suitable set of features, I have two suggestions, (1) recursive feature selection and (2) SHAP values. Using either of these methods can save you time as you find the right set of features for your model.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

Suggest a related project