Heuristic Willis
Total Score: 90
Homework submissions
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://www.linkedin.com/posts/akinmuleya_just-wrapped-up-the-first-two-chapters-activity-7243143558705070080-D24X?utm_source=share&utm_medium=member_desktop
- https://www.linkedin.com/posts/akinmuleya_i-just-completed-week-1-of-the-datatalksclub-activity-7242144081106112514-LP8C?utm_source=share&utm_medium=member_desktop
Homework 2: Machine Learning for Regression
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 3: Machine Learning for Classification
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 4: Evaluation Metrics for Classification
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 5: Deploying Machine Learning Models
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 6: Decision Trees and Ensemble Learning
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 8: Neural Networks and Deep Learning
Score: 9 = 6 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 9: Serverless Deep Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Project submissions
Midterm Project
Project score: 16 Passed
Score: 29 = 16 (project) + 9 (peer review) + 3 (learning in public / project) + 1 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links: Show