Fuzzy Matching / Fuzzy Logic / Data Cleansing in Colab
Budget: £20 – £250 GBP
I have a dataset with a number of different names in it. A number of these names are the same entity but have been captured with slightly different conventions.
I need a fuzzy matching solution to help me clean up the dataset and identify the names.
Here is the dataset:
https://drive.google.com/file/d/12_N-fmozGBvZ1SSgFUpah55kOeX-5L8E/view?usp=sharing
The field that needs matching / cleansing is called "VendorNameDetails".
Solution should be provided in a colab notebook so i can upload and re-run it myself in future.
I need a fuzzy matching solution to help me clean up the dataset and identify the names.
Here is the dataset:
https://drive.google.com/file/d/12_N-fmozGBvZ1SSgFUpah55kOeX-5L8E/view?usp=sharing
The field that needs matching / cleansing is called "VendorNameDetails".
Solution should be provided in a colab notebook so i can upload and re-run it myself in future.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Algorithm
C++ Programming
Data Mining