Coursera - Statistical Learning for Data Science Specialization 2024 - 磁力管家

BT种子名称

分享给好友

BT种子基本信息

种子哈希：3f9cc65705b6617a6933cf52dfe6ee9ef1a0b10f
文档大小：4.0 GB
文档个数：225个文档
下载次数：368次
下载速度：极快
收录时间：2024-07-17
最近下载：2025-05-09
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:3F9CC65705B6617A6933CF52DFE6EE9EF1A0B10F
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码迅雷看看
磁力链接在线播放？试试百度云网盘离线下载播放！

Coursera - Statistical Learning for Data Science Specialization 2024的二维码

文档列表

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
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/04_interpretability-vs-flexibility.en.srt 7.4 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/01_introduction/01_earn-academic-credit-for-your-work_instructions.html 7.3 kB
Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/01_course-introduction/01_earn-academic-credit-for-your-work_instructions.html 7.3 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/01_welcome/01_course-introduction/02_earn-academic-credit-for-your-work_instructions.html 7.3 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/02_supervised-vs-unsupervised.en.srt 7.3 kB
Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/02_lda-estimates.en.srt 7.2 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/01_multiple-linear-regression-overview.en.srt 6.8 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/02_coefficient-estimation.en.txt 6.6 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/02_support-vector-machines-part-2.en.srt 6.6 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/01_estimating-coefficients.en.srt 6.4 kB
Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/03_assessing-accuracy-classification.en.srt 6.3 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/02_generative-models-part-ii.en.txt 6.2 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/02_interaction-terms.en.srt 5.9 kB
Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/01_lda.en.txt 5.8 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.txt 5.8 kB
Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/02_link-functions-and-conclusion.en.txt 5.7 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/02_linear-vs-logistics-regression.en.txt 5.5 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/02_correlation.en.srt 5.5 kB
Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/01_bayes-classifier-part-i.en.txt 5.5 kB
Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/04_standard-to-multivariate-details.en.txt 5.5 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.txt 5.5 kB
Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/03_assessing-accuracy-knn.en.txt 5.4 kB
Coursera - Resampling, Selection and Splines 2024-5/04_cross-validation/01_cross-validation/01_cross-validation.en.txt 5.4 kB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/03_ridge-regression-part-2.en.txt 5.3 kB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/03_principle-component-analysis_instructions.html 5.3 kB
Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/03_lda-with-p-1.en.txt 5.3 kB
Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/02_bayes-classifier-part-ii.en.srt 5.1 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/01_classification-overview.en.txt 5.0 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/03_logistic-regression.en.srt 4.9 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/04_interpretability-vs-flexibility.en.txt 4.9 kB
Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/02_bias-variance-trade-off.en.txt 4.9 kB
Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/01_course-introduction/03_course-introduction.en.srt 4.9 kB
Coursera - Regression and Classification 2024-5/06_classification-models/03_poisson-regression-link-functions-conclusion/01_poisson-regression.en.txt 4.9 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/02_inference.en.srt 4.9 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/01_welcome/01_course-introduction/01_course-3-introduction.en.srt 4.8 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/01_generative-models-part-i.en.srt 4.8 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/04_neural-networks-part-4.en.txt 4.8 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/04_overview-example-discussion.en.srt 4.8 kB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/02_ridge-regression-part-1.en.txt 4.8 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/01_model-accuracy.en.txt 4.7 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/03_accuracy-of-coefficient-estimates.en.txt 4.7 kB
Coursera - Resampling, Selection and Splines 2024-5/04_cross-validation/01_cross-validation/02_summary_instructions.html 4.7 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/01_coefficients/01_simple-linear-regression-overview.en.txt 4.7 kB
Coursera - Regression and Classification 2024-5/06_classification-models/01_lda/02_lda-estimates.en.txt 4.6 kB
Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/01_qda.en.txt 4.5 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/05_support-vector-machines_instructions.html 4.5 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/02_supervised-vs-unsupervised.en.txt 4.4 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/01_qualitative-predictors.en.txt 4.3 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/01_multicollinearity.en.txt 4.3 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/03_model-specifics/02_linear-regression-vs-knn-regression.en.txt 4.3 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/01_prediction.en.txt 4.2 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.txt 4.2 kB
Coursera - Regression and Classification 2024-5/06_classification-models/02_qda-naive-bayes/02_naive-bayes.en.txt 4.1 kB
Coursera - Resampling, Selection and Splines 2024-5/05_bootstrapping/01_bootstrapping/02_summary_instructions.html 4.1 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/05_quantitative-vs-qualitative.en.srt 4.0 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/03_parametric-methods.en.srt 4.0 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/04_decision-trees-bagging-random-forests/01_introduction/02_decision-trees-and-bagging_instructions.html 3.9 kB
Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/01_model-accuracy.en.txt 3.9 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/03_notation-overview.en.srt 3.8 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/01_introduction/02_course-support_instructions.html 3.8 kB
Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/01_course-introduction/02_course-support_instructions.html 3.8 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/01_welcome/01_course-introduction/03_course-support_instructions.html 3.8 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/02_support-vector-machines-part-2.en.txt 3.8 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/01_multiple-linear-regression/01_multiple-linear-regression-overview.en.txt 3.5 kB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/01_ridge-regression/05_ridge-regression_instructions.html 3.4 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/02_logistic-regression-part-ii/01_estimating-coefficients.en.txt 3.3 kB
Coursera - Resampling, Selection and Splines 2024-5/02_generalized-least-squares/01_introduction-to-generalized-least-squares/02_generalized-least-squares-gls-relations-to-ols-wls_instructions.html 3.3 kB
Coursera - Regression and Classification 2024-5/02_accuracy/01_accuracy/03_assessing-accuracy-classification.en.txt 3.2 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/02_inference.en.txt 3.0 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/03_generative-models/01_generative-models-part-i.en.txt 3.0 kB
Coursera - Regression and Classification 2024-5/04_multiple-linear-regression/02_predictors/02_interaction-terms.en.txt 3.0 kB
Coursera - Regression and Classification 2024-5/03_simple-linear-regression/02_concepts/02_correlation.en.txt 2.9 kB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/02_lasso/02_lasso_instructions.html 2.9 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/04_overview-example-discussion.en.txt 2.8 kB
Coursera - Regression and Classification 2024-5/02_accuracy/02_bayes-classifier/02_bayes-classifier-part-ii.en.txt 2.7 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/01_welcome/01_course-introduction/01_course-3-introduction.en.txt 2.6 kB
Coursera - Regression and Classification 2024-5/05_classification-overview/01_logistic-regression/03_logistic-regression.en.txt 2.6 kB
Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/01_course-introduction/03_course-introduction.en.txt 2.6 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/05_quantitative-vs-qualitative.en.txt 2.4 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/03_notation-overview.en.txt 2.2 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/01_introduction-and-welcome.en.srt 2.2 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/03_general-concepts/03_parametric-methods.en.txt 2.0 kB
Coursera - Regression and Classification 2024-5/01_statistical-learning-introduction/02_setting-the-foundation/01_introduction-and-welcome.en.txt 1.1 kB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/Readme.txt 131 Bytes
Coursera - Resampling, Selection and Splines 2024-5/Readme.txt 128 Bytes
Coursera - Regression and Classification 2024-5/Readme.txt 124 Bytes
Coursera - Trees, SVM and Unsupervised Learning 2024-5/links.txt 68 Bytes

==查看完整文档列表==

上一个：www.Torrenting.org - OrgasmAbuse 18 08 31 Vanessa Cage And Naomi Vanessa Cums Hard X586.3 MB
下一个：MIDV-824 1.5 GB

24小时热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载 WEB DL DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载 WEB DL Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载 WEB DL Star
新桥恋人.电影港地址发布页 www.dygang.me 收藏不迷路 4365次下载 me www 发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载 KiNGDOM WEB DL
www.UIndex.org - ... 4126次下载 www MeGusta HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载 WEB DL 2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载 Live Remastered Hits

本周热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载 zip 巨乳 CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载 S05E02 HEVC 720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载 982108028 mod play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载 web last h264
异世降临.6v电影地址发布页 www.6v123.net 收藏不迷路 5220次下载 www 发布页 6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载 WEB DL S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载 HEVC Andor mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载 WEB DL DDP5

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家