Coursera - Statistical Learning for Data Science Specialization 2024

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Coursera - Statistical Learning for Data Science Specialization 2024

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收录时间：2024-07-17
最近下载：2025-09-08

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文件列表

  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/01_neural-networks-part-1.mp4 196.1 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/01_support-vector-machines-part-1.mp4 164.8 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/02_neural-networks-part-2.mp4 155.0 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/03_neural-networks-part-3.mp4 151.9 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/03_support-vector-machines-part-3.mp4 146.1 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/04_general-additive-models-gam-review/01_general-additive-models-part-1.mp4 142.5 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/05_neural-networks-and-its-application-to-unsupervised-learning.mp4 138.9 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/04_support-vector-machines-part-4.mp4 137.4 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/02_pca-in-terms-of-svd.mp4 123.6 MB
  • Coursera - Resampling, Selection and Splines 2024-5/02_generalized-least-squares/01_introduction-to-generalized-least-squares/01_generalized-least-squares.mp4 107.7 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/01_principle-component-analysis-pca-overview.mp4 100.5 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/02_relationship-between-x-and-y.mp4 95.7 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/04_neural-networks-part-4.mp4 94.9 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/04_ridge-regression-part-3.mp4 89.2 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/02_multiple-logistic-regression.mp4 79.2 MB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/02_coefficient-estimation.mp4 78.6 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/02_support-vector-machines-part-2.mp4 70.0 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/03_assessing-accuracy-knn.mp4 60.5 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/02_linear-vs-logistics-regression.mp4 58.1 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/01_bayes-classifier-part-i.mp4 57.0 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/01_generalized-linear-models-part-1.mp4 56.5 MB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/03_accuracy-of-coefficient-estimates.mp4 56.2 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/02_lasso/01_lasso.mp4 56.1 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/03_non-parametric-regression-review/01_parametric-vs-non-parametric-regression.mp4 55.9 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/02_link-functions-and-conclusion.mp4 54.9 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/01_l1-and-l2-norms.mp4 53.4 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/02_generative-models-part-ii.mp4 52.5 MB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/01_model-accuracy.mp4 52.0 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/01_multicollinearity.mp4 51.7 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/01_lda.mp4 51.5 MB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/01_simple-linear-regression-overview.mp4 49.8 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/01_classification-overview.mp4 49.5 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/04_standard-to-multivariate-details.mp4 48.6 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/03_lda-with-p-1.mp4 48.0 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/01_poisson-regression.mp4 45.5 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/01_qualitative-predictors.mp4 45.2 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/02_linear-regression-vs-knn-regression.mp4 44.6 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/02_bias-variance-trade-off.mp4 44.4 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/03_ridge-regression-part-2.mp4 41.3 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/01_qda.mp4 40.7 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/02_supervised-vs-unsupervised.mp4 40.4 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/02_lda-estimates.mp4 38.8 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/01_multiple-linear-regression-overview.mp4 37.5 MB
  • Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/02_naive-bayes.mp4 37.3 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/02_generalized-linear-models-part-2.mp4 36.7 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/04_interpretability-vs-flexibility.mp4 35.9 MB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/02_ridge-regression-part-1.mp4 35.4 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/03_assessing-accuracy-classification.mp4 35.2 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/01_model-accuracy.mp4 34.9 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/01_prediction.mp4 34.6 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/01_estimating-coefficients.mp4 33.2 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/01_welcome/01_course-introduction/01_course-3-introduction.mp4 32.9 MB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/02_interaction-terms.mp4 32.4 MB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/02_correlation.mp4 31.6 MB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/04_decision-trees-bagging-random-forests/01_introduction/01_decision-trees.mp4 28.5 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/03_logistic-regression.mp4 28.1 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/04_overview-example-discussion.mp4 26.6 MB
  • Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/02_bayes-classifier-part-ii.mp4 26.2 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/01_course-introduction/03_course-introduction.mp4 25.9 MB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/01_generative-models-part-i.mp4 25.3 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/03_notation-overview.mp4 25.2 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/02_inference.mp4 23.1 MB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/04_general-additive-models-gam-review/02_general-additive-models-part-2.mp4 20.2 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/05_quantitative-vs-qualitative.mp4 19.2 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/03_parametric-methods.mp4 16.8 MB
  • Coursera - Resampling, Selection and Splines 2024-5/05_bootstrapping/01_bootstrapping/01_bootstrapping.mp4 14.2 MB
  • Coursera - Resampling, Selection and Splines 2024-5/04_cross-validation/01_cross-validation/01_cross-validation.mp4 10.0 MB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/01_introduction-and-welcome.mp4 7.9 MB
  • Coursera - Resampling, Selection and Splines 2024-5/04_cross-validation/01_cross-validation/02_summary_lassoregression.html 260.3 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/06_neural-networks_artificial_neural_network_unsupervised_learning.htm 164.4 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/03_non-parametric-regression-review/01_parametric-vs-non-parametric-regression.en.srt 34.1 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/02_pca-in-terms-of-svd.en.srt 26.3 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/01_neural-networks-part-1.en.srt 25.6 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/01_principle-component-analysis-pca-overview.en.srt 22.5 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/04_support-vector-machines-part-4.en.srt 21.9 kB
  • Coursera - Resampling, Selection and Splines 2024-5/02_generalized-least-squares/01_introduction-to-generalized-least-squares/01_generalized-least-squares.en.srt 21.3 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/04_ridge-regression-part-3.en.srt 20.1 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/04_decision-trees-bagging-random-forests/01_introduction/01_decision-trees.en.srt 19.2 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/01_support-vector-machines-part-1.en.srt 18.9 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/03_non-parametric-regression-review/01_parametric-vs-non-parametric-regression.en.txt 17.7 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/02_generalized-linear-models-part-2.en.srt 17.6 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/05_neural-networks-and-its-application-to-unsupervised-learning.en.srt 17.2 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/02_lasso/01_lasso.en.srt 17.1 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/02_neural-networks-part-2.en.srt 16.5 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/03_neural-networks-part-3.en.srt 16.3 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/01_l1-and-l2-norms.en.srt 16.1 kB
  • Coursera - Resampling, Selection and Splines 2024-5/05_bootstrapping/01_bootstrapping/01_bootstrapping.en.srt 15.1 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/02_pca-in-terms-of-svd.en.txt 15.1 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/01_neural-networks-part-1.en.txt 15.0 kB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/02_relationship-between-x-and-y.en.srt 14.8 kB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/02_multiple-logistic-regression.en.srt 14.7 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/06_neural-networks_instructions.html 13.7 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/01_generalized-linear-models-part-1.en.srt 13.6 kB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/02_coefficient-estimation.en.srt 12.9 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/04_support-vector-machines-part-4.en.txt 12.8 kB
  • Coursera - Resampling, Selection and Splines 2024-5/02_generalized-least-squares/01_introduction-to-generalized-least-squares/01_generalized-least-squares.en.txt 12.1 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/01_principle-component-analysis-pca-overview.en.txt 11.8 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/04_ridge-regression-part-3.en.txt 11.5 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/02_link-functions-and-conclusion.en.srt 10.9 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/03_support-vector-machines-part-3.en.srt 10.8 kB
  • Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/01_bayes-classifier-part-i.en.srt 10.7 kB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/02_linear-vs-logistics-regression.en.srt 10.6 kB
  • Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/03_assessing-accuracy-knn.en.srt 10.3 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/03_ridge-regression-part-2.en.srt 10.2 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/03_lda-with-p-1.en.srt 10.1 kB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/02_generative-models-part-ii.en.srt 10.1 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/04_decision-trees-bagging-random-forests/01_introduction/01_decision-trees.en.txt 10.0 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/04_general-additive-models-gam-review/02_general-additive-models-part-2.en.srt 9.9 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/02_neural-networks-part-2.en.txt 9.9 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/01_support-vector-machines-part-1.en.txt 9.9 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/01_l1-and-l2-norms.en.txt 9.8 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/01_poisson-regression.en.srt 9.5 kB
  • Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/02_bias-variance-trade-off.en.srt 9.5 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/05_neural-networks-and-its-application-to-unsupervised-learning.en.txt 9.3 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/04_neural-networks-part-4.en.srt 9.2 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/01_lda.en.srt 9.1 kB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/02_multiple-logistic-regression.en.txt 9.1 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/02_generalized-linear-models-part-2.en.txt 9.0 kB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/03_accuracy-of-coefficient-estimates.en.srt 8.9 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/01_qda.en.srt 8.9 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/04_standard-to-multivariate-details.en.srt 8.8 kB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/01_simple-linear-regression-overview.en.srt 8.8 kB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/02_relationship-between-x-and-y.en.txt 8.7 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/02_lasso/01_lasso.en.txt 8.6 kB
  • Coursera - Resampling, Selection and Splines 2024-5/04_cross-validation/01_cross-validation/01_cross-validation.en.srt 8.6 kB
  • Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/03_neural-networks-part-3.en.txt 8.5 kB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/01_qualitative-predictors.en.srt 8.5 kB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/01_multicollinearity.en.srt 8.3 kB
  • Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/02_linear-regression-vs-knn-regression.en.srt 8.3 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/04_general-additive-models-gam-review/01_general-additive-models-part-1.en.srt 8.2 kB
  • Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/02_naive-bayes.en.srt 8.2 kB
  • Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/01_classification-overview.en.srt 8.1 kB
  • Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/01_prediction.en.srt 8.1 kB
  • Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/01_model-accuracy.en.srt 8.0 kB
  • Coursera - Resampling, Selection and Splines 2024-5/05_bootstrapping/01_bootstrapping/01_bootstrapping.en.txt 7.9 kB
  • Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/02_generalized-linear-models-glm-review/01_generalized-linear-models-part-1.en.txt 7.8 kB
  • Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/02_ridge-regression-part-1.en.srt 7.7 kB
  • Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/01_model-accuracy.en.srt 7.5 kB
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