GitHub - dnsingh2826/Spam-Email-Classification-using-Naive-Bayes: This project classifies emails as spam/not spam using Naive Bayes. It leverages NLP techniques for data preprocessing, feature extraction, and model training. The repository includes code for data prep, training, evaluation, and metrics. Contributions are welcome to improve the model's accuracy and efficiency.

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This project classifies emails as spam/not spam using Naive Bayes. It leverages NLP techniques for data preprocessing, feature extraction, and model training. The repository includes code for data prep, training, evaluation, and metrics. Contributions are welcome to improve the model's accuracy and efficiency.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
0009009.pdf		0009009.pdf
2019 Cloud based Reversible Dynamic Secure Steganography Model for embedding pathological report in medical images.pdf		2019 Cloud based Reversible Dynamic Secure Steganography Model for embedding pathological report in medical images.pdf
An_approach_for_Malicious_Spam_Detection.pdf		An_approach_for_Malicious_Spam_Detection.pdf
ER.png		ER.png
Email_Spam_Detection_Using_Machine_Learning_Algorithms.pdf		Email_Spam_Detection_Using_Machine_Learning_Algorithms.pdf
Hybrid_spam_detection_using_machine_lear.pdf		Hybrid_spam_detection_using_machine_lear.pdf
IJERT_Email_based_Spam_Detection.pdf		IJERT_Email_based_Spam_Detection.pdf
LICENSE		LICENSE
PID200-750-757e.pdf		PID200-750-757e.pdf
SPAM_AND_EMAIL_DETECTION_IN_BIG_DATA_PLA.pdf		SPAM_AND_EMAIL_DETECTION_IN_BIG_DATA_PLA.pdf
Shrawan.pdf		Shrawan.pdf
SreehariS.pdf		SreehariS.pdf
admin,+12.pdf		admin,+12.pdf
aire-2020-draft.pdf		aire-2020-draft.pdf
classified_email.csv		classified_email.csv
emails.csv		emails.csv
formula.jpg		formula.jpg
main.ipynb		main.ipynb
main_using_lr.ipynb		main_using_lr.ipynb
main_using_svm.ipynb		main_using_svm.ipynb

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MIT License

Copyright (c) 2024 Dhruv Narayan Singh

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.