Gender Prediction using Sound | Python

Python & Machine Learning Squad

Thu, Nov 10, 5:00 PM (UTC)


Career Growth
Data Science

About this event

About this event:

The same name can be spelled in many ways (for example, Marc and Mark, or Elizabeth and Elisabeth). Therefore, Sound can be a better way to match names than spelling. In this project, we will use the Python package Fuzzy to find out the genders of authors that have appeared in the New York Times Best Seller list for Children's Picture books.

The dataset will be uploaded on our GitHub repo a few hours before the event. (it will be announced on our discord)

Some prior knowledge is needed for this project:

1 - Knowing basic Python.

2- (not mandatory) Watch this video for some general knowledge on speech detection

Q: Do I need to be from a specific country to attend this project walkthrough?

A: No! This is an international event. You can attend it from anywhere in the world!

Q: Do I need any experience in coding?

A: Yes, having basic knowledge of Python is mandatory.

Q: Will this meeting be recorded?

A: Yes, we upload all the workshops on our youtube channel

Our Discord Community

Watch our previous videos on our Youtube Channel

Registration for this event is closed.
Please contact the event organizer for assistance.



Thursday, 10 November
8:00 PM - 9:00 PM (GMT+3)


5:00 PM
5:00 PMNetworking
5:10 PMFuzzy Module
5:20 PMProject Walkthrough
5:55 PMFuture Events
6:00 PMEnd


  • Negar Vahid

    Chapter Leader