FAKE NEWS DETECTION Using MACHINE LEARNING | Machine Learning Projects | GeeksforGeeks
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- čas přidán 6. 03. 2024
- Welcome to our Machine Learning Project Series! 📊🔍 Join us as we dive into the realm of media integrity, focusing on the crucial task of Fake News Detection using Machine Learning techniques.
Drawing from two distinct datasets sourced from Kaggle-one containing fake news and the other comprising genuine news-we navigate through the complex landscape of data preprocessing and feature engineering. With the aid of TF-IDF to unravel word weightage and regex functions to refine our dataset, we lay a solid foundation for our predictive model.
Join us as we explore a myriad of classification algorithms, including Logistic Regression, Decision Tree Classifier, and Random Forest Classifier, each offering unique insights into the authenticity of news articles.
📖 Related Article: www.geeksforgeeks.org/fake-ne...
📄 News Datasets: github.com/ChitranjanUpadhaya...
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#fakenews #fakenewsprediction #FakeNewsusingML #fakenewsusingmachinelearning #mlprojects #machinelearning #geeksforgeeks #gfg #gfgmachinelearning #machinelearningprojects
📄 News Datasets: github.com/ChitranjanUpadhayay/ML_Projects/tree/main/Datasets/Fake%20News
pred_lr = Lr.predict(xv_test)
This part of code isn't working properly, it shows errors
Any solution?
ParserError: Error tokenizing data. C error: EOF inside string starting at row 1220
Plz help me to fix this error
Great sir, easy to understand 🙏🏻
Great sir, way of explanation is very nice👌
sir good content easy to understand and sir try to make end to end project
the models not accurate
the article you used is genuine news
i searched it
this model is showing fake news for any article except for the one in the true dataset, i tried it
Can i use this algorithm to detect malicious links
which ML model/algortihm you used ?
in pred_lr= LR.predict(xv_test) i am getting value error:The error message "ValueError: X has 110701 features, but LogisticRegression is expecting 174139 features as input." indicates that the number of features in your test data (xv_test) does not match the number of features the model was trained on
can somebody tell the solution to it
Thank You so much😊
Sir can you make it in more deep to detect real world fake news and how to freely deploy it
Broo I got an error can you help me ?
in def_manual_testing it shows gbc and rfc are not defined
File not found error 😕
in dataset not given labels
pred_lr = Lr.predict(xv_test)
This part of code isn't working properly, it shows errors
make sure news.drop(['title','subject','date'],axis=1) has run correctly
@@sarthakkuwar3027 It runs correctly but it still shows the error..
@@harshavardhan9774 did u find soln to it??
@@ABHIPSABANIK It still shows the same kind of error..
ParserError: Error tokenizing data. C error: EOF inside string starting at row 1220
Plz help me to fix this error
Try using (on_bad_lines = 'skip', quoting=0)
Nice one
I'm getting error in last line : Manual_testing is not defined
All the codes are proper and well written
Is it get resolved
@@akanksha9873 not yet actually there is problem in models functions
can you send the link for the code
@@solankiritik1274 did you got the solution?
Sir can you send the link for the code
classification_report() isnt defined, help fixing it.
from sklearn.metrics import accuracy_score, classification_report
add this
im trying to figure the same thing out, can you help me if you figured it out
import classification_report from sklearn.metrics
same issue i too want that classification report can some one help on this
@@muralicj9347 yeah i used the library on this code block again
develop brain tumor detection project using cnn
File not found error 😕