890.93 MB | 00:09:42 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 introduction-to-the-course.mp4 (8.19 MB)
03 business-understanding-and-problem-discovery.mp4 (50.71 MB)
04 no-free-lunch-theorem.mp4 (13.78 MB)
05 exploring-the-process-of-problem-definition.mp4 (31.55 MB)
01 data-acquisition-and-understanding.mp4 (42.01 MB)
02 metadata-matters.mp4 (21.77 MB)
03 dealing-with-multimodal-data.mp4 (13.17 MB)
04 features-and-transformations-of-raw-data.mp4 (39.1 MB)
01 identifying-data-from-problem.mp4 (18.35 MB)
02 case-study-problem-from-data.mp4 (24.97 MB)
04 weekly-summary-what-does-good-data-look-like.mp4 (23.3 MB)
01 data-warehousing.mp4 (40.3 MB)
02 converting-to-useful-forms.mp4 (18.94 MB)
03 data-quality.mp4 (10.67 MB)
04 how-much-data-do-i-need.mp4 (18.23 MB)
01 everything-has-to-be-numbers.mp4 (31.83 MB)
02 types-of-data.mp4 (23.2 MB)
03 aligning-similar-data.mp4 (18.65 MB)
01 imputing-missing-values.mp4 (17.34 MB)
02 data-transformations.mp4 (23.59 MB)
03 weekly-summary-preparing-your-data-for-machine-learning-success.mp4 (9.46 MB)
04 data-cleaning-everybodys-favourite-task.mp4 (21.27 MB)
01 what-are-the-simplest-features-to-try.mp4 (33.07 MB)
02 useful-useless-features.mp4 (13.2 MB)
03 how-many-features.mp4 (21.05 MB)
01 what-is-unsupervised-learning.mp4 (17.58 MB)
02 feature-selection.mp4 (29.59 MB)
03 feature-extraction.mp4 (7.46 MB)
01 transfer-learning.mp4 (36.69 MB)
03 weekly-summary-feature-engineering-for-more-fun-profit.mp4 (9.76 MB)
01 imbalanced-data.mp4 (21.51 MB)
02 generalization-and-how-machines-actually-learn.mp4 (37.49 MB)
03 bias-in-data-sources.mp4 (13.13 MB)
04 bias-and-variance-tradeoff.mp4 (24.19 MB)
01 outliers.mp4 (21.27 MB)
02 skewed-distributions.mp4 (31.21 MB)
01 badness-multipliers.mp4 (13.25 MB)
02 live-data-danger.mp4 (32.97 MB)
03 weekly-summary-bad-data.mp4 (6.69 MB)]
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