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Vihaan Shah

Vihaan Shah is a Data Scientist who loves to play around with data. He is an inquisitive person and AI/ML enthusiast. On a mission to 'Script' his way into the programming world. Currently working as Data science content writer at Analytics India Magazine.

Hands-on implementation of TF-IDF from scratch in Python

TF-IDF is a method which gives us a numerical weightage of words which reflects how important the particular word is to a document in a corpus. A corpus is a collection of documents. Tf is Term frequency, and IDF is Inverse document frequency. This method is often used for information retrieval and text mining.

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