Statistical Learning for Data Science Specialization

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Download Free Download : Coursera Statistical Learning for Data Science Specialization
mp4 | Video: h264,1278X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:3.42 GB

Files Included :

01 introduction-and-welcome.mp4 (5.89 MB)
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02 supervised-vs-unsupervised.mp4 (31.58 MB)
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03 notation-overview.mp4 (19.7 MB)
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04 overview-example-discussion.mp4 (20.7 MB)
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01 prediction.mp4 (27.73 MB)
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02 inference.mp4 (18.56 MB)
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03 parametric-methods.mp4 (13.55 MB)
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04 interpretability-vs-flexibility.mp4 (28.64 MB)
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05 quantitative-vs-qualitative.mp4 (15.33 MB)
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01 model-accuracy.mp4 (27.94 MB)
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02 bias-variance-trade-off.mp4 (36.47 MB)
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03 assessing-accuracy-classification.mp4 (30.61 MB)
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01 bayes-classifier-part-i.mp4 (50.13 MB)
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02 bayes-classifier-part-ii.mp4 (22.11 MB)
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03 assessing-accuracy-knn.mp4 (52.95 MB)
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01 simple-linear-regression-overview.mp4 (41.04 MB)
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02 coefficient-estimation.mp4 (67.47 MB)
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03 accuracy-of-coefficient-estimates.mp4 (49.01 MB)
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01 model-accuracy.mp4 (45.02 MB)
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02 correlation.mp4 (26.22 MB)
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01 multiple-linear-regression-overview.mp4 (31.5 MB)
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02 relationship-between-x-and-y.mp4 (83.36 MB)
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01 qualitative-predictors.mp4 (38.98 MB)
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02 interaction-terms.mp4 (27.05 MB)
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01 multicollinearity.mp4 (44.29 MB)
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02 linear-regression-vs-knn-regression.mp4 (37.4 MB)
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01 classification-overview.mp4 (41.77 MB)
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02 linear-vs-logistics-regression.mp4 (47.63 MB)
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03 logistic-regression.mp4 (23.89 MB)
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01 estimating-coefficients.mp4 (27.8 MB)
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02 multiple-logistic-regression.mp4 (66.96 MB)
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01 generative-models-part-i.mp4 (20.2 MB)
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02 generative-models-part-ii.mp4 (41.93 MB)
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01 lda.mp4 (42.45 MB)
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02 lda-estimates.mp4 (30.67 MB)
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03 lda-with-p-1.mp4 (38.87 MB)
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04 standard-to-multivariate-details.mp4 (39.99 MB)
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01 qda.mp4 (33.16 MB)
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02 naive-bayes.mp4 (30.4 MB)
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01 poisson-regression.mp4 (37.43 MB)
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02 link-functions-and-conclusion.mp4 (45.62 MB)
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03 course-introduction.mp4 (23.12 MB)
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01 generalized-linear-models-part-1.mp4 (54.06 MB)
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02 generalized-linear-models-part-2.mp4 (39.46 MB)
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01 parametric-vs-non-parametric-regression.mp4 (53.15 MB)
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01 general-additive-models-part-1.mp4 (134.76 MB)
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02 general-additive-models-part-2.mp4 (19.47 MB)
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01 generalized-least-squares.mp4 (87.05 MB)
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01 l1-and-l2-norms.mp4 (42.6 MB)
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02 ridge-regression-part-1.mp4 (29.06 MB)
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03 ridge-regression-part-2.mp4 (33.25 MB)
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04 ridge-regression-part-3.mp4 (72.65 MB)
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01 lasso.mp4 (44.39 MB)
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01 principle-component-analysis-pca-overview.mp4 (81.59 MB)
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02 pca-in-terms-of-svd.mp4 (100.15 MB)
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01 cross-validation.mp4 (9.41 MB)
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01 bootstrapping.mp4 (13.36 MB)
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01 course-3-introduction.mp4 (28.39 MB)
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01 support-vector-machines-part-1.mp4 (152.11 MB)
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02 support-vector-machines-part-2.mp4 (65.51 MB)
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03 support-vector-machines-part-3.mp4 (136.39 MB)
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04 support-vector-machines-part-4.mp4 (130.59 MB)
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01 neural-networks-part-1.mp4 (169.45 MB)
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02 neural-networks-part-2.mp4 (142.41 MB)
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03 neural-networks-part-3.mp4 (141.2 MB)
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04 neural-networks-part-4.mp4 (90.27 MB)
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05 neural-networks-and-its-application-to-unsupervised-learning.mp4 (122.51 MB)
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01 decision-trees.mp4 (26.66 MB)
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