Homework 1: Introduction to Machine Learning

Score: 9 = 7 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://x.com/codeWhizperer/status/1970186921327632892
• https://www.linkedin.com/posts/adegbite-kelvin-ademola-a986b6139_github-codewhizperermachine-learning-zoomcamp-homework-activity-7375950476267139072-VMgK?utm_source=share&utm_medium=member_desktop&rcm=ACoAACG9wZQBQrL7SGkHICvN_9epz32j4wXOv5A

Homework 2: Machine Learning for Regression

Score: 6 = 4 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/adegbite-kelvin-ademola-a986b6139_machine-learning-zoomcamp-homework02-intro-activity-7382063233320333312-6Dzu?utm_source=share&utm_medium=member_desktop&rcm=ACoAACG9wZQBQrL7SGkHICvN_9epz32j4wXOv5A
• https://x.com/codeWhizperer/status/1976299352508526682

Midterm Project

Project score: 11 Passed

Score: 20 = 11 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Capstone 1

Project score: 13 Passed

Score: 22 = 13 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project