Can I read Email Spam Classification with Python on EtoBox?
Email Spam Classification with Python by ruchi rani is a document available to read on EtoBox.
What is Email Spam Classification with Python about?
Email spam classification involves automatically identifying emails as spam or non-spam using machine learning algorithms, with a dataset of 5573 rows and 2 columns sourced from Kaggle. The logistic regression model is utilized to convert linear regression outputs into probabilities, while an MLP classifier achieves an accuracy score of 0.99, precision of 0.98, recall of 0.98, and F1 score of 0.94. Key libraries used include Numpy, Pandas, Matplotlib, Seaborn, and sklearn.
- Author
- ruchi rani
- Language
- EN