Coursera - Machine Learning with Python

Files Included :

01 welcome.mp4 (7.19 MB)
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02 introduction-to-machine-learning.mp4 (14.43 MB)
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03 python-for-machine-learning.mp4 (9.07 MB)
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04 supervised-vs-unsupervised.mp4 (9.86 MB)
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01 introduction-to-regression.mp4 (7.22 MB)
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02 simple-linear-regression.mp4 (19.11 MB)
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03 model-evaluation-in-regression-models.mp4 (13.65 MB)
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04 evaluation-metrics-in-regression-models.mp4 (4.97 MB)
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05 multiple-linear-regression.mp4 (20.49 MB)
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01 non-linear-regression.mp4 (11.52 MB)
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01 introduction-to-classification.mp4 (6.45 MB)
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02 k-nearest-neighbours.mp4 (13.81 MB)
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03 evaluation-metrics-in-classification.mp4 (10.25 MB)
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01 introduction-to-decision-trees.mp4 (6.28 MB)
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02 building-decision-trees.mp4 (16.99 MB)
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01 intro-to-logistic-regression.mp4 (12.27 MB)
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02 logistic-regression-vs-linear-regression.mp4 (22.13 MB)
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03 logistic-regression-training.mp4 (21.68 MB)
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01 support-vector-machine.mp4 (13.02 MB)
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01 intro-to-clustering.mp4 (12.84 MB)
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02 intro-to-k-means.mp4 (15.23 MB)
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03 more-on-k-means.mp4 (5.59 MB)
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01 intro-to-hierarchical-clustering.mp4 (10.21 MB)
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02 more-on-hierarchical-clustering.mp4 (9.49 MB)
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01 dbscan.mp4 (11.92 MB)
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01 intro-to-recommender-systems.mp4 (7.35 MB)
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02 content-based-recommender-systems.mp4 (8.39 MB)
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03 collaborative-filtering.mp4 (10.75 MB)
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01 optional-signing-up-for-a-watson-studio-account.mp4 (6.93 MB)
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02 optional-sharing-notebooks-on-watson-studio.mp4 (16.23 MB)
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