• implement two APIs
• edit the API explanation files if needed to clarify the requirements or add ideas for implementation
• add real world messy datasets or links to messy datasets to the datasets folder

Get DataPrep's Data Cleaning component off to a strong start by implementing a few APIs with high quality, thoroughly tested, and well structured code.

1. clean_text()
2. clean_email()
3. clean_url()
4. clean_ml()
5. clean_date()
6. clean_address()
7. clean_country()
8. clean_phone()
9. clean_lat_long()
10. clean_ip()
11. clean_currency()

• Implement more APIs
• Consider domain specific cleaning scenarios (e.g., finance, biology)
• Marketing: blog post and videos