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This SMS Spam Classifier App is a powerful and efficient tool designed to identify and filter out unwanted spam messages from your text messages. Using advanced machine learning algorithms

Home Page: https://github.com/SheikhEbadaBinAshraf/SMS-Spam-Classifier-App-Using-LogisticRegression

Jupyter Notebook 95.67% Python 4.33%
accuracy-score countvectorizer image jupyter-notebook numpy pandas python3 sklearn streamlit streamlit-application tfidf-vectorizer

sms-spam-classifier-app-using-logisticregression's Introduction

SMS Spam Classifier App Using Logistic-Regression

This SMS Spam Classifier App is a powerful and efficient tool designed to identify and filter out unwanted spam messages from your text messages. Using advanced machine learning algorithms

Libraries Used:

  1. import pandas as pd
  2. import numpy as np
  3. from sklearn.model_selection import train_test_split
  4. from sklearn.feature_extraction.text import TfidfVectorizer
  5. from sklearn.linear_model import LogisticRegression
  6. from sklearn.metrics import accuracy_score
  7. from sklearn.metrics.pairwise import cosine_similarity
  8. import nltk
  9. from nltk.stem.porter import PorterStemmer
  10. from PIL import Image

Using Streamlit For Web-App

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