/LSTM-Spam-Detector

Spam Detector using RNN network for classification of spam and ham

Primary LanguageJupyter Notebook

LSTM-Spam-Detector

Spam Detector using RNN network for classification of spam and ham

Note

A commented version of the code can be found in the jupyter notebook file (SpamDetector.ipynb)

Prerequisites

1 Create a project folder

Open a new terminal tab on your ubuntu machine and type:

mkdir SpamDetector
cd SpamDetector

2 Clone the project's repo

On the same SpamDetector folder

git clone https://github.com/DanyOrtu97/LSTM-Spam-Detector.git

3 Install requirements

cd LSTM-Spam-Detector
pip3 install -r requirements.txt

4 Run the project

python3 SpamDetector.py

NOTE

On "Test_Hyperparameters_results" you can find:

  • our scripts for model testing with hyperparameters (including plots and plotting code)
  • our scripts for different neural network models
  • our scripts for classic ML algorithms (like KNN, Random forest, SVM, Naive Bayes and Binary classifier)