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wehub-resource-sync 2de7548470 chore: import upstream snapshot with attribution

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01-what-is-machine-learning

chore: import upstream snapshot with attribution

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02-linear-regression

chore: import upstream snapshot with attribution

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03-logistic-regression

chore: import upstream snapshot with attribution

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04-decision-trees

chore: import upstream snapshot with attribution

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05-support-vector-machines

chore: import upstream snapshot with attribution

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06-knn-and-distances

chore: import upstream snapshot with attribution

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07-unsupervised-learning

chore: import upstream snapshot with attribution

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08-feature-engineering

chore: import upstream snapshot with attribution

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09-model-evaluation

chore: import upstream snapshot with attribution

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10-bias-variance

chore: import upstream snapshot with attribution

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11-ensemble-methods

chore: import upstream snapshot with attribution

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12-hyperparameter-tuning

chore: import upstream snapshot with attribution

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13-ml-pipelines

chore: import upstream snapshot with attribution

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14-naive-bayes

chore: import upstream snapshot with attribution

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15-time-series

chore: import upstream snapshot with attribution

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16-anomaly-detection

chore: import upstream snapshot with attribution

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17-imbalanced-data

chore: import upstream snapshot with attribution

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18-feature-selection

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README.md

chore: import upstream snapshot with attribution

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README.md

Phase 2: ML Fundamentals

Classical machine learning — still the backbone of most production AI.

See ROADMAP.md for the full lesson plan.