181k Mails Access.txt -

Create a feature that detects and removes duplicate email addresses from the access.txt file.

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have been verified or have a high confidence of being valid) * Invalid emails (emails that have been verified and are no longer valid) * Disposable emails (emails from disposable email services like Mailinator, Guerrillamail, etc.)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.) 181k mails access.txt

Create a feature that extracts email addresses from a given text or document and adds them to the access.txt file. Create a feature that detects and removes duplicate

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.) For example: * Bar chart showing the top

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

Create a feature that checks if an email address in the access.txt file is valid or not. This can be done by sending a verification email to the address and checking if the email bounces back or not.