Develop a feature that categorizes the email addresses in access.txt into different groups, such as: * Valid emails (emails that have been verified or have a high confidence of being valid) * Invalid emails (emails that have been verified and are no longer valid) * Disposable emails (emails from disposable email services like Mailinator, Guerrillamail, etc.) * Role-based emails (emails like support@example.com, info@example.com, etc.)
Create a feature that generates new email addresses based on a given pattern or template. For example, if the pattern is username@example.com , the generator can produce new email addresses like user1@example.com , user2@example.com , etc. 181k mails access.txt
Which feature would you like to implement? Or do you have any other ideas? Develop a feature that categorizes the email addresses
Develop a feature that visualizes the data in access.txt using plots, charts, or heatmaps. For example: * Bar chart showing the top 10 most frequent email domains * Heatmap showing the distribution of email addresses across different domains Or do you have any other ideas
Create a feature that extracts email addresses from a given text or document and adds them to the access.txt file.
Develop a feature that analyzes the frequency of email addresses in access.txt and provides insights, such as: * Top 10 most frequent email addresses * Email address frequency distribution (e.g., how many emails appear once, twice, thrice, etc.)