Overview
Developed an SMS Spam Classification model to identify messages as spam or ham using Naive Bayes and SVM for real-world use.
Preprocessing
Implemented text pre-processing and TF-IDF feature extraction.
NLPPythonSVMNaive BayesTF-IDF
SMS Spam Classification
Classification model to identify messages as spam or ham.
Role
Data Scientist
Timeline
2023-01-01 — 2023-04-01
Accuracy
93%