Coursera - Statistical Learning for Data Science Specialization 2024

磁力链接/BT种子名称

Coursera - Statistical Learning for Data Science Specialization 2024

磁力链接/BT种子简介

种子哈希：3f9cc65705b6617a6933cf52dfe6ee9ef1a0b10f
文件大小： 3.76G
已经下载：398次
下载速度：极快
收录时间：2024-07-17
最近下载：2025-08-08

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:3F9CC65705B6617A6933CF52DFE6EE9EF1A0B10F
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 TikTok成人版 PornHub 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

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
  • 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

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！