GitHub - 0xhatim/ML-email-spam-detection: email-spam-detection

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
.gitattributes		.gitattributes
.gitignore		.gitignore
CNN-based.ipynb		CNN-based.ipynb
Dataset.rar		Dataset.rar
Figure_1_Accuracy_and_Loss.png		Figure_1_Accuracy_and_Loss.png
Figure_2_Confusion_Matrix.png		Figure_2_Confusion_Matrix.png
Final Project Graphs.rar		Final Project Graphs.rar
LSTM-based (with subject line).ipynb		LSTM-based (with subject line).ipynb
LSTM-based.ipynb		LSTM-based.ipynb
ML Project.rar		ML Project.rar
ML_Project.ipynb		ML_Project.ipynb
ML_Project_SpamEmail.ipynb		ML_Project_SpamEmail.ipynb
cnn_model.h5		cnn_model.h5
emailspam with subject line.csv		emailspam with subject line.csv
enron_05_17_2015_with_labels_v2.csv		enron_05_17_2015_with_labels_v2.csv
enron_05_17_2015_with_labels_v2.csv_enron_05_17_2015_with_labels_v2.csv		enron_05_17_2015_with_labels_v2.csv_enron_05_17_2015_with_labels_v2.csv
enron_spam_detection_accuracy.png		enron_spam_detection_accuracy.png
enron_spam_detection_loss.png		enron_spam_detection_loss.png
feauters_recall.ipynb		feauters_recall.ipynb
graph_generation.py		graph_generation.py
label_encoder.pkl		label_encoder.pkl
ml_final.ipynb		ml_final.ipynb
nlp-lstm-CNN.ipynb		nlp-lstm-CNN.ipynb
req.txt		req.txt
spam_ham_model.h5		spam_ham_model.h5
tokenizer.json		tokenizer.json