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[CourserHub.com] Coursera - Statistical Modeling for Data Science Applications Specialization
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modern-regression-analysis-in-r
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04_prediction-and-explanation-in-linear-regression-analysis
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02_explanation
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01_defining-causality.mp4 - 75.94 MB
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01_defining-causality.en.srt - 34.13 KB
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01_defining-causality.en.txt - 18 KB
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01_prediction
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04_making-predictions-using-real-data-in-r.mp4 - 50.31 MB
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01_differentiating-prediction-and-explanation.mp4 - 36.78 MB
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05_when-prediction-goes-wrong.mp4 - 26.72 MB
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03_interval-estimates-for-prediction.mp4 - 16.37 MB
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02_point-estimates-for-prediction.mp4 - 14.95 MB
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04_making-predictions-using-real-data-in-r.en.srt - 21.58 KB
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01_differentiating-prediction-and-explanation.en.srt - 18.21 KB
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02_point-estimates-for-prediction.en.srt - 13.68 KB
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04_making-predictions-using-real-data-in-r.en.txt - 13.18 KB
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03_interval-estimates-for-prediction.en.srt - 11.56 KB
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05_when-prediction-goes-wrong.en.srt - 11.21 KB
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01_differentiating-prediction-and-explanation.en.txt - 9.57 KB
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06_prediction_exam.html - 7.24 KB
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02_point-estimates-for-prediction.en.txt - 7.02 KB
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03_interval-estimates-for-prediction.en.txt - 6.13 KB
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05_when-prediction-goes-wrong.en.txt - 5.91 KB
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03_assignments-predictive-models-prediction-intervals-and-experimental-design
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01_module-4-peer-review-submission_peer_assignment_instructions.html - 1.85 KB
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02_module-4-autograded-assignment_instructions.html - 1.22 KB
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01_introduction-to-statistical-models
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02_introduction-to-statistical-modeling
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03_frameworks-and-goals-of-statistical-modeling.mp4 - 60.37 MB
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04_the-assumption-of-concept-validity.mp4 - 29.4 MB
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03_frameworks-and-goals-of-statistical-modeling.en.srt - 21.7 KB
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03_frameworks-and-goals-of-statistical-modeling.en.txt - 11.38 KB
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04_the-assumption-of-concept-validity.en.srt - 10.69 KB
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01_welcome-and-where-to-find-help_instructions.html - 8.11 KB
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05_introduction-to-statistical-modeling_exam.html - 7.03 KB
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04_the-assumption-of-concept-validity.en.txt - 5.7 KB
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02_information-on-peer-reviews_instructions.html - 2.93 KB
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03_the-linear-regression-model
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04_the-appropriateness-of-linear-regression.mp4 - 39.87 MB
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02_matrix-representation-of-the-linear-regression-model.mp4 - 22.78 MB
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06_interpreting-the-linear-regression-model-ii.mp4 - 20.88 MB
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01_the-linear-regression-model.mp4 - 18.16 MB
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03_assumptions-of-linear-regression.mp4 - 14.2 MB
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05_interpreting-the-linear-regression-model-i.mp4 - 10.99 MB
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02_matrix-representation-of-the-linear-regression-model.en.srt - 20.07 KB
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04_the-appropriateness-of-linear-regression.en.srt - 16.75 KB
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01_the-linear-regression-model.en.srt - 16.43 KB
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03_assumptions-of-linear-regression.en.srt - 14.12 KB
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07_the-linear-regression-model_exam.html - 12.32 KB
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02_matrix-representation-of-the-linear-regression-model.en.txt - 10.53 KB
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05_interpreting-the-linear-regression-model-i.en.srt - 9.29 KB
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04_the-appropriateness-of-linear-regression.en.txt - 8.82 KB
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01_the-linear-regression-model.en.txt - 8.68 KB
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06_interpreting-the-linear-regression-model-ii.en.srt - 7.47 KB
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03_assumptions-of-linear-regression.en.txt - 7.46 KB
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05_interpreting-the-linear-regression-model-i.en.txt - 4.85 KB
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06_interpreting-the-linear-regression-model-ii.en.txt - 3.95 KB
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04_assignments-linear-regression-and-standardization
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01_module-1-peer-review-submission_peer_assignment_instructions.html - 2.14 KB
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02_module-1-autograded_instructions.html - 1.22 KB
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01_optional-introduction-to-r-and-jupyter
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01_optional-introduction-to-jupyter-and-r_instructions.html - 1.35 KB
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02_linear-regression-parameter-estimation
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02_variability-and-identifiability-in-regression-models
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04_regression-modeling-in-r-a-second-pass.mp4 - 55.49 MB
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02_the-coefficient-of-determination.mp4 - 39.46 MB
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01_sums-of-squares-and-estimating-the-error-variance.mp4 - 33.1 MB
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03_the-problem-of-non-identifiabiliity.mp4 - 23.82 MB
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04_regression-modeling-in-r-a-second-pass.en.srt - 29.39 KB
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01_sums-of-squares-and-estimating-the-error-variance.en.srt - 23.04 KB
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04_regression-modeling-in-r-a-second-pass.en.txt - 15.49 KB
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02_the-coefficient-of-determination.en.srt - 13.46 KB
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01_sums-of-squares-and-estimating-the-error-variance.en.txt - 12.07 KB
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03_the-problem-of-non-identifiabiliity.en.srt - 8.32 KB
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02_the-coefficient-of-determination.en.txt - 7.14 KB
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03_the-problem-of-non-identifiabiliity.en.txt - 5.34 KB
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05_variability-and-identifiability-in-regression-models_exam.html - 5.26 KB
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01_least-squares
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01_introduction-to-least-squares.mp4 - 45.6 MB
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04_regression-modeling-in-r-a-first-pass.mp4 - 41.9 MB
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03_deriving-the-least-squares-solution.mp4 - 35.81 MB
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05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.mp4 - 26.32 MB
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02_linear-algebra-for-least-squares.mp4 - 14.26 MB
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03_deriving-the-least-squares-solution.en.srt - 24.43 KB
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04_regression-modeling-in-r-a-first-pass.en.srt - 23.91 KB
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05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.en.srt - 15.35 KB
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01_introduction-to-least-squares.en.srt - 15.3 KB
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04_regression-modeling-in-r-a-first-pass.en.txt - 14.65 KB
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03_deriving-the-least-squares-solution.en.txt - 12.74 KB
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02_linear-algebra-for-least-squares.en.srt - 10.65 KB
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01_introduction-to-least-squares.en.txt - 9.94 KB
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05_justifying-least-squares-the-gauss-markov-theorem-and-maximum-likelihood.en.txt - 9.41 KB
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02_linear-algebra-for-least-squares.en.txt - 6.55 KB
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06_least-squares_exam.html - 6.33 KB
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03_assignments-least-squares-parameter-estimation-and-interpreting-slr-models
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01_module-2-peer-review-submission_peer_assignment_instructions.html - 1.85 KB
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02_module-2-autograded-assignment_instructions.html - 1.22 KB
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03_inference-in-linear-regression
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01_statistical-inference-introduction-and-t-tests
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04_t-tests-in-r.mp4 - 50.19 MB
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02_the-sampling-distribution-of-the-least-squares-estimator.mp4 - 43.86 MB
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01_motivating-statistical-inference-in-the-linear-regression-context.mp4 - 30.48 MB
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03_t-tests-for-individual-regression-parameters.mp4 - 22.41 MB
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02_the-sampling-distribution-of-the-least-squares-estimator.en.srt - 26.3 KB
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04_t-tests-in-r.en.srt - 26.16 KB
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03_t-tests-for-individual-regression-parameters.en.srt - 18.54 KB
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02_the-sampling-distribution-of-the-least-squares-estimator.en.txt - 16.08 KB
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01_motivating-statistical-inference-in-the-linear-regression-context.en.srt - 14.24 KB
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04_t-tests-in-r.en.txt - 13.69 KB
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05_statistical-inference-intro-and-t-tests_exam.html - 9.8 KB
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03_t-tests-for-individual-regression-parameters.en.txt - 9.7 KB
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01_motivating-statistical-inference-in-the-linear-regression-context.en.txt - 7.47 KB
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02_statistical-inference-the-f-tests-and-confidence-intervals
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02_the-f-test.mp4 - 41.53 MB
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01_motivating-the-f-test-multiple-statistical-comparisons.mp4 - 28.17 MB
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03_the-f-test-in-r.mp4 - 22.69 MB
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04_confidence-intervals-in-the-regression-contextconfidence-intervals-in-the.mp4 - 17.4 MB
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02_the-f-test.en.srt - 25.47 KB
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02_the-f-test.en.txt - 15.66 KB
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03_the-f-test-in-r.en.srt - 12.73 KB
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01_motivating-the-f-test-multiple-statistical-comparisons.en.srt - 12.01 KB
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04_confidence-intervals-in-the-regression-contextconfidence-intervals-in-the.en.srt - 11.99 KB
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05_statistical-inference-the-f-tests-and-confidence-intervals_exam.html - 8.33 KB
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04_confidence-intervals-in-the-regression-contextconfidence-intervals-in-the.en.txt - 7.28 KB
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03_the-f-test-in-r.en.txt - 6.65 KB
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01_motivating-the-f-test-multiple-statistical-comparisons.en.txt - 6.37 KB
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03_ethics-in-statistical-practice
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01_ethics-in-statistical-practice-and-communication-five-recommendations_Ethics_in_statistical_practice_and_communication.pdf - 1.21 MB
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02_ethics-in-statistical-practice-and-communication-five-recommendations_peer_assignment_instructions.html - 1.92 KB
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01_ethics-in-statistical-practice-and-communication-five-recommendations_instructions.html - 1.25 KB
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04_assignments-coefficient-importance-and-confidence-intervals
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01_module-3-peer-review-submission_peer_assignment_instructions.html - 1.86 KB
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02_module-3-autograded-assignment_instructions.html - 1.22 KB
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06_model-selection-and-multicollinearity
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01_model-selection-i-testing-based-procedures
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01_motivating-model-selection-methods.mp4 - 34.49 MB
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02_testing-based-procedures-and-their-shortfalls.mp4 - 28.75 MB
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01_motivating-model-selection-methods.en.srt - 15.63 KB
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02_testing-based-procedures-and-their-shortfalls.en.srt - 10.49 KB
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01_motivating-model-selection-methods.en.txt - 8.28 KB
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02_testing-based-procedures-and-their-shortfalls.en.txt - 6.77 KB
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02_model-selection-ii-criterion-based-procedures
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05_model-selection-in-r.mp4 - 32.14 MB
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01_criterion-based-procedures-aic.mp4 - 24.86 MB
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03_criterion-based-procedures-adjusted-r-squared.mp4 - 13.16 MB
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02_criterion-based-procedures-bic.mp4 - 12.13 MB
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04_the-mean-squared-prediction-error-as-a-model-selection-method.mp4 - 11.04 MB
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01_criterion-based-procedures-aic.en.srt - 19.24 KB
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05_model-selection-in-r.en.srt - 16.11 KB
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03_criterion-based-procedures-adjusted-r-squared.en.srt - 10.55 KB
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05_model-selection-in-r.en.txt - 10.3 KB
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02_criterion-based-procedures-bic.en.srt - 9.96 KB
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01_criterion-based-procedures-aic.en.txt - 9.92 KB
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06_model-selection-ii-criterion-based-procedures_exam.html - 6.35 KB
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04_the-mean-squared-prediction-error-as-a-model-selection-method.en.srt - 5.86 KB
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03_criterion-based-procedures-adjusted-r-squared.en.txt - 5.6 KB
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02_criterion-based-procedures-bic.en.txt - 5.25 KB
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04_the-mean-squared-prediction-error-as-a-model-selection-method.en.txt - 3.14 KB
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03_multicollinearity
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03_the-problem-of-multicollinearity-solutions-and-r-implementation.mp4 - 24.72 MB
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02_diagnosing-multicollinearity.mp4 - 23.84 MB
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01_the-problem-of-collinearity.mp4 - 22.83 MB
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02_diagnosing-multicollinearity.en.srt - 13.85 KB
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01_the-problem-of-collinearity.en.srt - 11.43 KB
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03_the-problem-of-multicollinearity-solutions-and-r-implementation.en.srt - 10.43 KB
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02_diagnosing-multicollinearity.en.txt - 8.66 KB
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04_multicollinearity_exam.html - 7.96 KB
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03_the-problem-of-multicollinearity-solutions-and-r-implementation.en.txt - 6.61 KB
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01_the-problem-of-collinearity.en.txt - 6.1 KB
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04_assignments-model-selection-information-criterion-and-multicollinearity
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01_module-6-peer-review-submission_peer_assignment_instructions.html - 2.69 KB
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02_module-6-autograded-assignment_instructions.html - 1.22 KB
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05_regression-diagnostics
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02_diagnostics-ii-constant-variance-and-normality
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03_diagnostics-in-r.mp4 - 30.14 MB
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01_violations-of-the-constant-variance-assumption.mp4 - 27.46 MB
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02_violations-of-the-normality-assumption.mp4 - 27.31 MB
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04_diagnostics-ii-constant-variance-and-normality_exam.html - 210.71 KB
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03_diagnostics-in-r.en.srt - 19.72 KB
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02_violations-of-the-normality-assumption.en.srt - 13.76 KB
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01_violations-of-the-constant-variance-assumption.en.srt - 12.77 KB
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03_diagnostics-in-r.en.txt - 10.36 KB
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01_violations-of-the-constant-variance-assumption.en.txt - 7.81 KB
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02_violations-of-the-normality-assumption.en.txt - 7.27 KB
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01_diagnostics-i-linearity-and-independence
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01_linear-regression-diagnostic-methods.mp4 - 24.91 MB
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03_violations-of-the-independence-assumption.mp4 - 24.8 MB
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02_violations-of-the-linearity-assumption.mp4 - 19.2 MB
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04_diagnostics-i-linearity-and-independence_exam.html - 133.05 KB
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03_violations-of-the-independence-assumption.en.srt - 19.02 KB
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02_violations-of-the-linearity-assumption.en.srt - 15.42 KB
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01_linear-regression-diagnostic-methods.en.srt - 13.51 KB
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03_violations-of-the-independence-assumption.en.txt - 10.18 KB
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02_violations-of-the-linearity-assumption.en.txt - 9.68 KB
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01_linear-regression-diagnostic-methods.en.txt - 7.19 KB
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03_assignments-regression-assumptions-and-diagnostics
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01_module-5-peer-review-submission_peer_assignment_instructions.html - 2.69 KB
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02_module-5-autograded-assignment_instructions.html - 1.22 KB
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07_Resources
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01_jupyter-notebooks-used-in-lectures
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01__Regression_modeling_in_R_-_a_first_pass1.ipynb - 878.78 KB
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01__C1M5T6.ipynb - 722.49 KB
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01__t-tests_in_R1.ipynb - 335.01 KB
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01__Model_Selection_in_R.ipynb - 333.5 KB
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01__Regression_modeling_in_R_-_a_second_pass.ipynb - 84.77 KB
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01__Making_predictions_using_real_data_in_R.ipynb - 18.18 KB
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01__The_F-test_in_R.ipynb - 15.66 KB
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01__resources.html - 1.85 KB
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anova-and-experimental-design
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04_experimental-design-basic-concepts-and-designs
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01_the-conceptual-framework-of-experimental-design
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01_the-conceptual-framework-of-experimental-design.mp4 - 56.95 MB
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01_the-conceptual-framework-of-experimental-design.en.srt - 24.25 KB
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01_the-conceptual-framework-of-experimental-design.en.txt - 15.27 KB
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02_the-conceptual-framework-of-experimental-design_exam.html - 10.05 KB
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02_the-completely-randomized-design
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01_the-completely-randomized-design.mp4 - 38.6 MB
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01_the-completely-randomized-design.en.srt - 18.26 KB
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01_the-completely-randomized-design.en.txt - 9.62 KB
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02_the-completely-randomized-design_exam.html - 4.08 KB
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05_further-issues-in-experimental-design
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03_ethical-issues-in-experimental-design.mp4 - 35.86 MB
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01_further-issues-in-experimental-design.mp4 - 15.72 MB
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04_resources-on-ethics_Experimental_evidence_of_massive-scale_emotional_contagion_through_social_networks.pdf - 580.1 KB
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02_causation-and-experimental-design_23639_Chapter_5___Causation_and_Experimental_Design.pdf - 379.06 KB
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04_resources-on-ethics_21_yale_j.l._tech._special_issue_27.pdf - 329.57 KB
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03_ethical-issues-in-experimental-design.en.srt - 18.26 KB
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03_ethical-issues-in-experimental-design.en.txt - 9.62 KB
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01_further-issues-in-experimental-design.en.srt - 9.2 KB
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01_further-issues-in-experimental-design.en.txt - 5.99 KB
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05_further-issues-in-experimental-design_exam.html - 2.75 KB
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04_resources-on-ethics_instructions.html - 1.24 KB
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02_causation-and-experimental-design_instructions.html - 1.07 KB
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04_the-factorial-design
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01_the-factorial-design.mp4 - 22.27 MB
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01_the-factorial-design.en.srt - 12.59 KB
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01_the-factorial-design.en.txt - 8.15 KB
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02_the-factorial-design_exam.html - 4.01 KB
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03_the-randomized-complete-block-design-rcbd
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02_the-randomized-complete-block-design-rcbd-hypothesis-testing.mp4 - 18.32 MB
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01_the-randomized-complete-block-design-rcbd.mp4 - 15.51 MB
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02_the-randomized-complete-block-design-rcbd-hypothesis-testing.en.srt - 10.18 KB
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01_the-randomized-complete-block-design-rcbd.en.srt - 9.27 KB
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02_the-randomized-complete-block-design-rcbd-hypothesis-testing.en.txt - 6.53 KB
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01_the-randomized-complete-block-design-rcbd.en.txt - 5.89 KB
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03_the-randomized-complete-block-design-rcbd_exam.html - 3.11 KB
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06_assignments-crd-rcbd-and-other-experimental-designs
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01_module-4-peer-review-submission_peer_assignment_instructions.html - 2.71 KB
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02_module-4-autograded-assignment_instructions.html - 1.22 KB
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02_hypothesis-testing-in-the-anova-context
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04_type-ii-error-and-power-in-the-anova-context
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01_type-ii-error-and-power-in-the-anova-context.mp4 - 38.75 MB
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04_optional-beyond-power-calculations-assessing-type-s-sign-and-type-m-magnitude_retropower_final.pdf - 204.27 KB
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01_type-ii-error-and-power-in-the-anova-context.en.srt - 27.14 KB
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01_type-ii-error-and-power-in-the-anova-context.en.txt - 14.23 KB
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03_type-ii-error-and-power-in-the-anova-context_exam.html - 3.4 KB
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04_optional-beyond-power-calculations-assessing-type-s-sign-and-type-m-magnitude_instructions.html - 2.19 KB
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02_patrizio-e-tressoldi-and-david-giofre-the-pervasive-avoidance-of-prospective_instructions.html - 2.04 KB
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01_beyond-the-full-f-test
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01_beyond-the-full-f-test.mp4 - 35.87 MB
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01_beyond-the-full-f-test.en.srt - 15.17 KB
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01_beyond-the-full-f-test.en.txt - 9.74 KB
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02_beyond-the-full-f-test_exam.html - 6.03 KB
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02_planned-comparisons-defining-contrasts
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01_planned-comparisons-defining-contrasts.mp4 - 34.36 MB
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01_planned-comparisons-defining-contrasts.en.srt - 17.81 KB
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01_planned-comparisons-defining-contrasts.en.txt - 10.98 KB
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02_planned-comparisons-defining-contrasts_exam.html - 5.36 KB
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03_planned-and-unplanned-comparisons
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03_post-hoc-comparisons-in-r.mp4 - 31.69 MB
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01_planned-comparisons-hypothesis-testing-with-contrasts.mp4 - 26.26 MB
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02_post-hoc-comparisons.mp4 - 23.77 MB
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03_post-hoc-comparisons-in-r.en.srt - 20.99 KB
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02_post-hoc-comparisons.en.srt - 16.29 KB
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01_planned-comparisons-hypothesis-testing-with-contrasts.en.srt - 14.42 KB
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03_post-hoc-comparisons-in-r.en.txt - 10.94 KB
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01_planned-comparisons-hypothesis-testing-with-contrasts.en.txt - 8.78 KB
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02_post-hoc-comparisons.en.txt - 8.6 KB
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04_planned-and-unplanned-comparisons_exam.html - 4.09 KB
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05_assignments-anova-hypothesis-testing-and-post-hoc-tests
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01_module-2-peer-review-submission_peer_assignment_instructions.html - 2.7 KB
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02_module-2-autograded-assignment_instructions.html - 1.23 KB
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03_two-way-anova-and-interactions
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04_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations
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01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.mp4 - 38.33 MB
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02_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations_exam.html - 621.13 KB
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01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.en.srt - 17.34 KB
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01_interaction-terms-in-the-two-way-anova-model-definitions-and-visualizations.en.txt - 10.98 KB
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05_interactions-in-the-two-way-anova-model-formal-tests
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01_interactions-in-the-two-way-anova-model-formal-tests.mp4 - 33.42 MB
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01_interactions-in-the-two-way-anova-model-formal-tests.en.srt - 20.32 KB
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01_interactions-in-the-two-way-anova-model-formal-tests.en.txt - 10.65 KB
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02_interactions-in-the-two-way-anova-model-formal-tests_exam.html - 7.72 KB
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01_motivating-the-two-way-anova-model
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01_motivating-the-two-way-anova-model.mp4 - 30.15 MB
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01_two-way-anova-hypothesis-testing-no-interaction.mp4 - 28.41 MB
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07_assignments-two-way-anova-and-anova-with-interaction-terms
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01_introduction-to-anova-and-experimental-design
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08_the-ancova-model
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10_ancova-with-interactions-in-r
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05_Resources
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01_jupyter-notebooks-used-in-lectures
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01__ANCOVA_with_interactions_in_R.ipynb - 243.18 KB
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01__Two-way_ANOVA-a_full_analysis_DONT_POST.ipynb - 152.45 KB
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01__A_completely_randomized_design_in_R.ipynb - 135.3 KB
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01__Planned_comparisons_using_contrasts_in_R.ipynb - 10.6 KB
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01_poisson-regression-a-new-model-for-count-data.mp4 - 22.34 MB
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03_interpreting-the-poisson-regression-model.mp4 - 10.49 MB
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02_poisson-regression-inference-and-goodness-of-fit
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01_goodness-of-fit-for-poisson-regression-i.mp4 - 29.08 MB
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03_assignments-glms-for-count-data
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04_introduction-to-generalized-additive-models
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04_generalized-additive-models-a-complete-example-with-real-data.mp4 - 31.1 MB
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03_generalized-additive-models-in-r-inference-and-interpretation.mp4 - 26.26 MB
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01_inference-with-generalized-additive-models-effective-degrees-of-freedom.mp4 - 21.98 MB
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02_inference-with-generalized-additive-models-tests.mp4 - 7.98 MB
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05_generalized-additive-models-inference-and-data-analysis_exam.html - 384.97 KB
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03_generalized-additive-models-in-r-inference-and-interpretation.en.srt - 16.49 KB
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01_inference-with-generalized-additive-models-effective-degrees-of-freedom.en.srt - 14.43 KB
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04_generalized-additive-models-a-complete-example-with-real-data.en.txt - 12.54 KB
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03_generalized-additive-models-in-r-inference-and-interpretation.en.txt - 10.31 KB
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01_inference-with-generalized-additive-models-effective-degrees-of-freedom.en.txt - 9 KB
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01_generalized-additive-models-basics
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03_generalized-additive-models-in-r.mp4 - 29.67 MB
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02_motivating-generalized-additive-models.mp4 - 22.76 MB
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01_required-generalized-additive-models-for-data-science_GAM_The_Predictive_Modeling_Silver_Bullet_-_Stitch_Fix_Technology__Multithreaded.pdf - 427.21 KB
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04_generalized-additive-models-basics_exam.html - 215.2 KB
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03_introduction-to-nonparametric-regression
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03_kernel-estimators.mp4 - 24.43 MB
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04_smoothing-splines.mp4 - 20.78 MB
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05_loess-locally-estimated-scatterplot-smoothing.mp4 - 18.85 MB
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01_introduction-to-nonparametric-regression-models.mp4 - 17.3 MB
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02_motivating-kernel-estimators.mp4 - 8.59 MB
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01_introduction-to-nonparametric-regression-models.en.txt - 8.95 KB
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01_kernel-estimation-in-r.mp4 - 11.57 MB
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01_kernel-estimation-in-r.en.txt - 3.88 KB
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01_an-introduction-to-generalized-linear-models-through-binomial-regression
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02_introduction-to-generalized-linear-models
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05_the-exponential-family-of-distributions.mp4 - 20.8 MB
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03_from-linear-models-to-generalized-linear-models.mp4 - 18.55 MB
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04_the-components-of-a-glm.mp4 - 11.81 MB
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01_welcome-and-where-to-find-help_instructions.html - 8.11 KB
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04_binomial-regression-in-r.mp4 - 20.43 MB
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01_introduction-to-binomial-regression.mp4 - 15.9 MB
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02_binomial-regression-parameter-estimation.mp4 - 15.69 MB
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03_interpretation-of-binomial-regression.mp4 - 11.21 MB
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01_introduction-to-binomial-regression.en.srt - 10.84 KB
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05_binomial-regression_exam.html - 9.93 KB
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01_introduction-to-binomial-regression.en.txt - 6.84 KB
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05_ethical-issues-in-statistics-and-data-science
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01_fairml-book-introduction_introduction.html - 100.01 KB
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04_binomial-regression-and-goodness-of-fit
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05_Resources
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01_jupyter-notebooks-used-in-lectures
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01__Generalized_additive_models_in_R.ipynb - 990.35 KB
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01__Generalized_additive_models_-_A_complete_example_with_real_data.ipynb - 448.82 KB
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01__Smoothing_splines_in_R.ipynb - 424.3 KB
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01__C3M3T8_Loess_in_R.ipynb - 329.38 KB
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01__Generalized_additive_models_in_R-inference_and_interpretation.ipynb - 209.45 KB
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01__Poisson_regression_on_real_data_in_R.ipynb - 159.44 KB
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01__Poisson_regression_goodness_of_fit_in_R_C3M2T8.ipynb - 153.99 KB
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01__Binomial_regression_in_R.ipynb - 13.19 KB
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01__Assessing_the_fit_of_the_binomial_regression_model.ipynb - 11.29 KB
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01__resources.html - 2.22 KB
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0. Websites you may like
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[CourserHub.com].url - 123 B
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Readme.txt - 51 B
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