Homework 1: Introduction to Machine Learning

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

Homework URL: View submission

Homework 2: Machine Learning for Regression

Score: 4 = 2 (questions) + 1 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/patrickedosoma_ml-zoomcamp-110-summary-of-session-1-activity-7248967950102122498-aV2u?utm_source=share&utm_medium=member_desktop

Homework 4: Evaluation Metrics for Classification

Score: 7 = 4 (questions) + 0 (FAQ) + 3 (learning in public)

Learning in public links: Show

• https://www.linkedin.com/posts/patrickedosoma_ml-zoomcamp-42-accuracy-and-dummy-model-activity-7253079885932363777-4YCT?utm_source=share&utm_medium=member_desktop
• https://x.com/im__patoo/status/1847314716357734511
• https://x.com/im__patoo/status/1847315214863094123

Homework 5: Deploying Machine Learning Models

Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 6: Decision Trees and Ensemble Learning

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

Homework 8: Neural Networks and Deep Learning

Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 9: Serverless Deep Learning

Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)

Midterm Project

Project score: 16 Passed

Score: 26 = 16 (project) + 9 (peer review) + 1 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Learning in public links: Show

• https://www.linkedin.com/posts/patrickedosoma_machinelearning-datascience-ai-activity-7265704051730698241-AuhT?utm_source=share&utm_medium=member_desktop