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spam_sms_detection's Introduction

Spam_SMS_Detection

ℹ️ Problem statement :

Making an AI model that can classify SMS messages as spam or legitimate. Using techniques like TF-IDF with classifiers like Logistic Regression to identify spam messages.

ℹ️ Dataset :

Download from here = click me

ℹ️ Tech Stacks :

  • Programming Language -
    • Python3
  • Libraries -
    • Numpy
    • Pandas
    • sklearn
  • Tools -
    • Google Colaboratory
    • Jupyter Notebook

ℹ️ Details :

  1. Based on CRISP-ML framework
  2. Use of TF-IDF method to convert strings into numerical values
  3. Implementation of Logistic Regression on model building
  4. Evaluation metric used - Accuracy
  5. A short driver code (in Deployment section) to take user input sms and predicting whether it is spam or not

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