Homework 1: Introduction to Machine Learning

Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)

Learning in public links: Show

• https://www.linkedin.com/posts/sergei-mangilev-software-and-data-engineer_ml-zoomcamp-2025-free-machine-learning-engineering-activity-7373684681164353536-2Htv?utm_source=share&utm_medium=member_desktop&rcm=ACoAABKAuLwB96o6Ks57SpQx5FgrW0w4gTobwWE

Homework 2: Machine Learning for Regression

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

Learning in public links: Show

• https://www.linkedin.com/posts/sergei-mangilev-software-and-data-engineer_machinelearning-regression-mlzoomcamp-activity-7379873364653416448-95Ey?utm_source=share&utm_medium=member_desktop&rcm=ACoAABKAuLwB96o6Ks57SpQx5FgrW0w4gTobwWE

Homework 3: Machine Learning for Classification

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

Learning in public links: Show

• https://www.linkedin.com/posts/sergei-mangilev-software-and-data-engineer_machinelearning-mlzoomcamp-datatalksclub-activity-7381554613709197312-kfnG?utm_source=share&utm_medium=member_desktop&rcm=ACoAABKAuLwB96o6Ks57SpQx5FgrW0w4gTobwWE

Homework 4: Evaluation Metrics for Classification

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