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Build a spam filter using Python and the multinomial Naive Bayes algorithm. 

Check Spam or Ham? Email Classifier Using Python using MultinomialNB.

Dataset click here.

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1 Answer

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by (110 points)
ASSIGNMENT 15
import numpy as np
import pandas as pd
import sklearn
data=pd.read_csv("/content/spam.csv")
data.head()
from sklearn.feature_extraction.text import CountVectorizer
CV=CountVectorizer()
xtrain=CV.fit_transform(data.Message)
xtest=CV.transform(data.Category)
xtrain.shape
from sklearn.feature_extraction.text import TfidfTransformer
tfidf=TfidfTransformer()
xtrain_tfidf=tfidf.fit_transform(xtrain)
xtest_tfidf=tfidf.transform(xtest)
xtrain_tfidf.shape
df_idf=pd.DataFrame(tfidf.idf_,index=CV.get_feature_names(),columns=["IDF_WEIGHTS"])
df_idf.sort_values(by=["IDF_WEIGHTS"]).head(10)
from sklearn.naive_bayes import MultinomialNB
model=MultinomialNB()
model.fit(xtrain_tfidf,data.Category)
ypred=model.predict(xtest_tfidf)
ypred
from sklearn.metrics import accuracy_score
accuracy_score(ypred,data.Category)*100
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