[CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

Creation Time	Sept. 1, 2023, 9:14 a.m.
Last Access Time	Jan. 27, 2026, 11:06 p.m.
File Size	4.0 GB
Keywords	and Statistics Specialization Data Science - Coursera Machine Learning com CourserHub
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Total Files	729
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data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_Coursera-SwiftKey.zip 548.0 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_Coursera-SwiftKey.zip 548.0 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.mp4 76.6 MB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.mp4 68.5 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.mp4 67.0 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.mp4 62.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.mp4 62.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.mp4 61.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.mp4 47.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.mp4 45.1 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.mp4 44.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.mp4 44.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.mp4 42.5 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.mp4 39.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.mp4 35.2 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.mp4 35.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.mp4 34.7 MB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.mp4 31.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.mp4 30.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.mp4 30.4 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/04_08-03-independent-group-t-intervals.mp4 29.3 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/04_logistic-regression-part-iii.mp4 27.8 MB
data-products/04_r-packages/01_r-packages/05_r-classes-and-methods-part-1.mp4 26.9 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/06_covariate-creation.mp4 26.9 MB
statistical-inference/01_week-1-probability-expected-values/01_module-1-introduction/01_introductory-video.mp4 26.8 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/05_09-04-two-group-testing.mp4 26.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/04_multivariable-regression-continued.mp4 26.4 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/03_multivariable-regression-part-ii.mp4 26.3 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/04_residuals-and-diagnostics-part-iii.mp4 26.0 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/02_model-selection-part-i.mp4 24.8 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/04_linear-least-squares-coding-example.mp4 24.4 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/04_02-03-probability-density-functions.mp4 24.3 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/03_11-02-calculating-power.mp4 23.6 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/06_leaflet-1-6.mp4 22.8 MB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/04_linear-regression-for-prediction.mp4 22.6 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/06_introductory-data-example.mp4 22.2 MB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/02_10-01-pvalues.mp4 21.6 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/03_03-02-bayes-rule.mp4 21.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/04_prediction.mp4 21.4 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/02_notation-and-background.mp4 21.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/04_05-03-standard-error-of-the-mean.mp4 20.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/02_residuals-and-diagnostics-part-i.mp4 20.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/07_preprocessing-with-principal-components-analysis.mp4 20.0 MB
data-science-project/02_exploratory-data-analysis-and-modeling/01_task-2-exploratory-data-analysis/01_introduction-to-task-2-exploratory-data-analysis.mp4 19.9 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/04_residual-variance.mp4 19.9 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/01_regularized-regression.mp4 19.5 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/01_welcome-to-the-capstone-project.mp4 19.1 MB
data-products/04_r-packages/01_r-packages/03_r-packages-part-2.mp4 19.1 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/01_predicting-with-trees.mp4 18.6 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/03_07-02-asymptotics-and-the-clt.mp4 18.4 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/02_shiny-2-2.mp4 18.3 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/08_predicting-with-regression.mp4 18.3 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/02_inference-in-regression.mp4 17.9 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/03_linear-least-squares.mp4 17.6 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/04_plotting-predictors.mp4 17.5 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/07_shiny-1-5.mp4 17.3 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/04_13-03-notes-on-the-bootstrap.mp4 17.2 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/09_predicting-with-regression-multiple-covariates.mp4 17.1 MB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/02_googlevis-1-2.mp4 17.0 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/05_11-04-t-test-power.mp4 16.9 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/05_model-based-prediction.mp4 16.9 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/03_introduction-basic-least-squares.mp4 16.8 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/10_types-of-errors.mp4 16.7 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/02_leaflet-1-2.mp4 15.9 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/01_introduction-to-task-1-getting-and-cleaning-the-data.mp4 15.8 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/05_you-are-a-data-scientist-now.mp4 15.8 MB
practical-machine-learning/02_week-2-the-caret-package/01_week-2/05_basic-preprocessing.mp4 15.7 MB
statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/04_04-03-expected-values-for-pdfs.mp4 15.6 MB
statistical-inference/03_week-intervals-testing-pvalues/01_module-8-confidence-intervals/02_08-01-t-confidence-intervals.mp4 15.2 MB
regression-models/02_week-2-linear-regression-multivariable-regression/01_statistical-linear-regression-models/03_interpreting-coefficients.mp4 15.1 MB
statistical-inference/03_week-intervals-testing-pvalues/03_module-10-p-values/03_10-02-pvalue-further-examples.mp4 15.1 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/03_02-02-probability-mass-functions.mp4 15.1 MB
data-products/04_r-packages/01_r-packages/06_r-classes-and-methods-part-2.mp4 15.0 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/01_introduction-to-task-0-understanding-the-problem.mp4 14.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/04_multivariable-regression-examples-part-iv.mp4 14.7 MB
regression-models/02_week-2-linear-regression-multivariable-regression/03_inference-in-regression/03_coding-example.mp4 14.7 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/06_r-markdown-1-6.mp4 14.7 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/02_residuals.mp4 14.5 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/07_relative-importance-of-steps.mp4 14.5 MB
regression-models/01_week-1-least-squares-and-linear-regression/03_linear-least-squares/05_technical-details-skip-if-you-d-like.mp4 14.5 MB
data-products/02_shiny-googlevis-and-plotly/04_googlevis/01_googlevis-1-1.mp4 14.2 MB
data-products/05_swirl-and-course-project/01_swirl-courses/02_swirl-1-2.mp4 14.1 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/03_plotly-1-3.mp4 14.0 MB
data-science-project/03_prediction-model/01_task-4-prediction-model/01_introduction-to-task-4-prediction-model.mp4 13.8 MB
regression-models/01_week-1-least-squares-and-linear-regression/02_introduction-to-regression-and-least-squares/02_introduction-to-regression.mp4 13.8 MB
data-products/04_r-packages/01_r-packages/02_r-packages-part-1.mp4 13.8 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/04_06-03-poisson.mp4 13.5 MB
data-science-project/05_data-product/01_task-6-data-product/01_introduction-to-task-6-data-product.mp4 13.5 MB
data-science-project/02_exploratory-data-analysis-and-modeling/02_task-3-modeling/01_introduction-to-task-3-modeling.mp4 13.4 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/06_what-is-prediction.mp4 13.3 MB
practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/02_bagging.mp4 13.1 MB
statistical-inference/01_week-1-probability-expected-values/02_module-2-probability/02_02-01-introduction-to-probability.mp4 13.0 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/03_forecasting.mp4 13.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/09_prediction-study-design.mp4 12.9 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/03_module-13-resampling/02_13-01-bootstrapping.mp4 12.8 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/01_module-11-power/02_11-01-power.mp4 12.8 MB
data-products/05_swirl-and-course-project/01_swirl-courses/03_swirl-1-3.mp4 12.7 MB
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practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/05_prediction-motivation.mp4 12.5 MB
data-products/02_shiny-googlevis-and-plotly/03_shiny-gadgets/03_shiny-gadgets-1-3.mp4 12.2 MB
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statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/02_04-01-expected-values.mp4 12.1 MB
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data-science-project/01_overview-understanding-the-problem-and-getting-the-data/03_task-1-getting-and-cleaning-the-data/04_regular-expressions-part-2-optional.mp4 11.7 MB
practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/02_course-project/01_course-project-instructions-read-first_pml-training.csv 11.6 MB
data-science-project/07_final-project-submission-and-evaluation/01_final-project-submission/01_congratulations.mp4 11.6 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/05_leaflet-1-5.mp4 11.4 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/12_cross-validation.mp4 11.4 MB
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statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/02_03-01-conditional-probability.mp4 11.2 MB
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data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/06_shiny-2-6.mp4 10.7 MB
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practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/04_boosting.mp4 10.6 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/03_multivariable-regression-examples-part-iii.mp4 10.5 MB
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practical-machine-learning/03_week-3-predicting-with-trees-random-forests-model-based-predictions/01_week-3/03_random-forests.mp4 10.2 MB
statistical-inference/03_week-intervals-testing-pvalues/02_module-9-hypothesis-testing/02_09-01-hypothesis-testing.mp4 10.2 MB
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data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/06_shiny-1-4.mp4 10.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/08_in-and-out-of-sample-errors.mp4 10.0 MB
practical-machine-learning/01_week-1-prediction-errors-and-cross-validation/01_week-1/13_what-data-should-you-use.mp4 9.6 MB
regression-models/02_week-2-linear-regression-multivariable-regression/04_for-the-project/02_really-really-quick-intro-to-knitr.mp4 9.5 MB
data-products/03_r-markdown-and-leaflet/03_leaflet/04_leaflet-1-4.mp4 9.5 MB
statistical-inference/03_week-intervals-testing-pvalues/04_knitr/02_just-enough-knitr-to-do-the-project.mp4 9.3 MB
data-products/02_shiny-googlevis-and-plotly/01_shiny-part-1/04_shiny-1-2.mp4 9.2 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/01_module-5-variability/05_05-04-variance-data-example.mp4 9.2 MB
statistical-inference/01_week-1-probability-expected-values/03_module-3-conditional-probability/04_03-03-independence.mp4 9.1 MB
data-science-project/06_slide-deck/01_task-7-slide-deck/01_introduction-to-task-7-slide-deck.mp4 9.0 MB
data-products/03_r-markdown-and-leaflet/01_r-markdown/03_r-markdown-1-3.mp4 9.0 MB
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data-products/03_r-markdown-and-leaflet/01_r-markdown/01_r-markdown-1-1.mp4 6.5 MB
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practical-machine-learning/04_week-4-regularized-regression-and-combining-predictors/01_week-4/04_unsupervised-prediction.mp4 6.1 MB
data-products/02_shiny-googlevis-and-plotly/02_shiny-part-2/03_shiny-2-3.mp4 6.0 MB
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regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/03_logistic-regression-part-ii.mp4 5.5 MB
data-products/01_course-overview/01_welcome/01_welcome-to-developing-data-products.mp4 5.4 MB
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statistical-inference/01_week-1-probability-expected-values/04_module-4-expected-values/03_04-02-expected-values-simple-examples.mp4 5.3 MB
data-products/02_shiny-googlevis-and-plotly/05_plotly/01_plotly-1-1.mp4 4.9 MB
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data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/04_welcome-from-swiftkey.mp4 3.6 MB
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