✔ Spam_or_Ham

This is a Logistic Regression Model in Python using a SMS spam collection Dataset to predict a message as SPAM or HAM.

Required Libraries

• Scikit-learn
• Pandas
• Numpy
• Matplotlib
• Seaborn

How to Use it

• Clone the repository on your local system or Download as zip and extract it.
• Open the folder in your Jupyter Notebook or Google Colab. You can also open it on VScode if you have Jupyter Notebook installed on your system.
• There in the folder, you can see the code file, dataset.csv, train_data.csv and test_data.csv
• Now open the code file LR_spam_detection.ipynb
• And click on the Run All button located in the upper side of Jupyter Notebook.
• After Running You can see the creation and all the details of the Model including training, testing, Accuracy in the respective output blocks.
• And in the last, You can also give a custom input message to check the trained model.