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- 6m-data-3.1-Introduction-to-Machine-Learning Public
DSAI M3 — Lesson 1: Introduction to Machine Learning (learner edition). Notebooks, interactive walkthroughs, and reference docs for self-study.
su-ntu-ctp/6m-data-3.1-Introduction-to-Machine-Learning’s past year of commit activity - 6m-data-3.8-Computer-Vision Public
su-ntu-ctp/6m-data-3.8-Computer-Vision’s past year of commit activity - 6m-data-3.5-Unsupervised-Learning Public
DSAI M3 — Unsupervised Learning (PCA, K-Means, Isolation Forest). Learner edition.
su-ntu-ctp/6m-data-3.5-Unsupervised-Learning’s past year of commit activity - 6m-data-3.2-Probability-Statistics-for-Machine-Learning Public
DSAI M3 — Lesson 2: Probability & Statistics for ML (learner edition). Notebooks, interactive walkthrough, and reference docs for self-study.
su-ntu-ctp/6m-data-3.2-Probability-Statistics-for-Machine-Learning’s past year of commit activity - 6m-data-3.4-Supervised-Learning-Advanced Public
DSAI M3 — Lesson 4: Supervised Learning Advanced (decision trees, random forests, gradient boosting). Notebooks, interactive walkthrough, and reference docs for self-study.
su-ntu-ctp/6m-data-3.4-Supervised-Learning-Advanced’s past year of commit activity - 6m-data-3.3-Supervised-Learning Public
DSAI M3 — Lesson 3: Supervised Learning (learner edition). Notebooks, interactive walkthrough, and reference docs for self-study.
su-ntu-ctp/6m-data-3.3-Supervised-Learning’s past year of commit activity
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