Email Spam Detection

Collect a dataset of spam and non-spam emails.
Clean and preprocess the text data.
Extract numerical features from the preprocessed data.
Train a machine learning model on the features.
Evaluate the model's performance on a test dataset.
Refine the model through tuning and experimentation.
Deploy the model for automated spam detection.