Feature request: Spam mail detector

[khushidadwal]

I would like to add a Machine Learning model which classifies text data from three different languages (English, French, and German) as either Spam or Ham (not spam).

The following are the steps I will be implementing -

• Will use the appropriate dataset.
• Next, I will process this data, followed by data preprocessing, which involves checking for missing values and removing them where necessary.
• The data will be then split into training and testing sets. The training data is used to train the model, and the testing data is used to make predictions.
• The text data will be converted into numerical representations using TfidfVectorizer.
• Then, I will initialize the Logistic Regression model. The training data is used to train this Logistic Regression model, which is preferred for binary classification tasks.
• Once this is done, a trained Logistic Regression model will be ready. Now, when we input a new email into the trained model, it will predict whether the email is spam or ham (not spam).

Please assign this issue to me hacktoberfest24 and gssoc'24 extended tags.
Thank you!

[github-actions]

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[khushidadwal]

@Neilblaze @SaiNivedh26 could you please add the level and hacktoberfest tag!

[github-actions]

Hello @khushidadwal! Your issue #340 has been closed. Thank you for your contribution!