Homework 1: Introduction to Machine Learning

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

Homework 2: Machine Learning for Regression

Score: 5 = 3 (questions) + 1 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/daniel-alugwe-054b8626b_github-danielalugwe-engmlzoomcamphomework-activity-7381725584810381312-GhUA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEI0JMABOPZArdn1985JwMET-gVcxXO36Do

Homework 3: Machine Learning for Classification

Score: 5 = 4 (questions) + 0 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/daniel-alugwe-054b8626b_mlzoomcamphomeworkleadscoringbankmarketingdatasethomework-activity-7383706679583928320-1AdI?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEI0JMABOPZArdn1985JwMET-gVcxXO36Do

Homework 4: Evaluation Metrics for Classification

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

Homework 5: Deploying Machine Learning Models

Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/daniel-alugwe-054b8626b_machinelearning-mlops-fastapi-activity-7389891087198339072-uIHb?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEI0JMABOPZArdn1985JwMET-gVcxXO36Do

Midterm Project

Project score: 9 Passed

Score: 20 = 9 (project) + 9 (peer review) + 2 (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/daniel-alugwe-054b8626b_datascience-electricvehicles-machinelearning-activity-7396774746354327552-IN0W?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEI0JMABOPZArdn1985JwMET-gVcxXO36Do
• https://x.com/babaoflagos/status/1991010305200275843?s=20