Guldanika Osmonova

About me: I’m a self-taught data scientist with an interdisciplinary background in international research, public policy, and social impact. My journey began in Central Asia, where I worked on issues ranging from education and migration to digital rights and climate. I want to deepen and enhanse my practical skills in Machine Learning.

Total Score: 106

Homework submissions

Homework 1: Introduction to Machine Learning

Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Project submissions

Midterm Project

Project score: 14 Passed

Score: 39 = 14 (project) + 9 (peer review) + 14 (learning in public / project) + 1 (learning in public / peer review) + 1 (FAQ)

Project URL: View project

Learning in public links: Show