[CourseClub.Me] Coursera – IBM Machine Learning Professional Certificate

Creation Time	April 10, 2024, 8:06 p.m.
Last Access Time	Oct. 14, 2025, 10:42 p.m.
File Size	1.6 GB
Keywords	Me CourseClub Certificate Coursera Machine – Learning Professional IBM
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Total Files	859
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Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/06_sarima-prophet-notebook-part-4.mp4 40.8 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/02_transfer-learning/04_transfer-learning-notebook.mp4 28.5 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/04_sarima-prophet-notebook-part-2.mp4 28.5 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/02_decision-trees-labs/04_optional-decision-trees-notebook-part-3.mp4 27.3 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/06_autoencoders-notebook-part-5.mp4 26.9 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/04_training-and-test-splits-lab-part-2.mp4 26.5 MB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/03_logistic-regression-labs/03_optional-logistic-regression-lab-part-2.mp4 25.7 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/05_boosting-and-stacking-labs/03_optional-boosting-notebook-part-2.mp4 25.3 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/01_convolutional-neural-networks/07_demo-cnn-notebook-part-1.mp4 24.6 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/01_arima-and-sarima-models.mp4 23.8 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/01_optimizers-and-data-shuffling/01_optimizers.mp4 23.4 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/02_autoencoders-notebook-part-1.mp4 22.1 MB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/03_logistic-regression-labs/04_optional-logistic-regression-lab-part-3.mp4 21.9 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/05_sarima-prophet-notebook-part-3.mp4 21.8 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/02_clustering-notebook-part-1.mp4 21.6 MB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/03_logistic-regression-labs/02_optional-logistic-regression-lab-part-1.mp4 21.6 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/04_keras-notebook-part-2.mp4 20.7 MB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/01_dimensionality-reduction/01_dimensionality-reduction-part-1.mp4 19.0 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/03_sarima-prophet-notebook-part-1.mp4 18.8 MB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/02_principal-component-analysis-and-matrix-factorization/02_pca-notebook-part-2.mp4 18.8 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/02_k-nearest-neighbors-labs/03_optional-k-nearest-neighbors-notebook-part-3.mp4 18.7 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/07_k-means-notebook-part-3.mp4 18.6 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/01_arma-models/05_arma-models-notebook-part-2.mp4 18.1 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/01_cross-validation.mp4 18.1 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/01_comparing-algorithms.mp4 17.9 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/05_clustering-notebook-part-4.mp4 17.3 MB
Coursera - Specialized Models Time Series and Survival Analysis/02_stationarity-and-time-series-smoothing/02_time-series-smoothing/04_advanced-smoothing.mp4 17.1 MB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/02_principal-component-analysis-and-matrix-factorization/01_pca-notebook-part-1.mp4 17.1 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/05_cross-validation-demo-part-3.mp4 16.6 MB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/02_principal-component-analysis-and-matrix-factorization/03_pca-notebook-part-3.mp4 16.3 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/03_autoencoders-notebook-part-2.mp4 16.3 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/01_introduction-to-neural-networks/01_course-introduction.mp4 16.2 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/06_cross-validation-demo-part-4.mp4 16.1 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/01_keras.mp4 15.8 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/01_arma-models/04_arma-models-notebook-part-1.mp4 15.7 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/05_autoencoders-notebook-part-4.mp4 15.1 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/05_training-and-test-splits-lab-part-3.mp4 15.1 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/02_k-nearest-neighbors-labs/01_optional-k-nearest-neighbors-notebook-part-1.mp4 14.8 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/01_convolutional-neural-networks/01_important-transformations.mp4 14.5 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/02_common-clustering-algorithms/05_mean-shift.mp4 14.3 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/03_cross-validation-demo-part-1.mp4 14.2 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/03_bagging-labs/04_optional-bagging-notebook-part-3.mp4 14.2 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/02_activation-functions/07_other-activation-functions.mp4 14.0 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/04_autoencoders-notebook-part-3.mp4 13.8 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/04_cross-validation-demo-part-2.mp4 13.8 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/01_training-and-test-splits.mp4 13.8 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/05_k-means-notebook-part-1.mp4 13.6 MB
Coursera - Exploratory Data Analysis for Machine Learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/12_correlation-vs-causation.mp4 13.4 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/02_decision-trees-labs/03_optional-decision-trees-notebook-part-2.mp4 13.3 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/01_arma-models/02_useful-plots.mp4 13.3 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/03_polynomial-regression/01_polynomial-regression.mp4 13.0 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/01_model-interpretability/04_surrogate-models.mp4 12.6 MB
Coursera - Specialized Models Time Series and Survival Analysis/01_introduction-to-time-series-analysis/02_time-series-decomposition/02_decomposition-models.mp4 12.6 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/03_training-and-test-splits-lab-part-1.mp4 12.4 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/02_common-clustering-algorithms/02_hierarchical-agglomerative-clustering-part-2.mp4 12.2 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/02_common-clustering-algorithms/04_dbscan-part-2.mp4 12.1 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/03_bagging-labs/02_optional-bagging-notebook-part-1.mp4 12.0 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/06_pros-and-cons-of-decision-trees.mp4 11.7 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/02_activation-functions/06_backpropagation-notebook-part-3.mp4 11.6 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/01_model-interpretability/03_model-agnostic-explanations.mp4 11.5 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/07_cross-validation-demo-part-5.mp4 11.5 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/05_keras-notebook-part-3.mp4 11.5 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/03_building-a-decision-tree.mp4 11.4 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/03_keras-notebook-part-1.mp4 11.4 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/02_activation-functions/05_backpropagation-notebook-part-2.mp4 11.3 MB
Coursera - Exploratory Data Analysis for Machine Learning/02_retrieving-and-cleaning-data/02_data-cleaning/01_data-cleaning.mp4 11.2 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/02_modeling-unbalanced-classes/02_upsampling-and-downsampling.mp4 11.1 MB
Coursera - Supervised Machine Learning Classification/03_support-vector-machines/01_support-vector-machines/04_regularization-in-support-vector-machines.mp4 11.0 MB
Coursera - Exploratory Data Analysis for Machine Learning/02_retrieving-and-cleaning-data/02_data-cleaning/02_handling-missing-values-and-outliers.mp4 11.0 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/05_boosting-and-stacking-labs/02_optional-boosting-notebook-part-1.mp4 10.8 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/01_autoencoders/01_autoencoders-part-1.mp4 10.6 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/01_convolutional-neural-networks/08_demo-cnn-notebook-part-2.mp4 10.5 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/03_bagging-labs/03_optional-bagging-notebook-part-2.mp4 10.3 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/02_decision-trees-labs/02_optional-decision-trees-notebook-part-1.mp4 10.3 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/02_random-forest/01_random-forest.mp4 10.3 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/01_computational-hurdles-of-clustering-algorithms/02_distance-metrics-part-2.mp4 10.2 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/04_boosting-and-stacking/05_stacking.mp4 10.0 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/04_clustering-notebook-part-3.mp4 10.0 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/02_activation-functions/04_backpropagation-notebook-part-1.mp4 10.0 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/02_modeling-unbalanced-classes/06_modeling-approaches-blagging.mp4 9.9 MB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/01_arma-models/01_autoregressive-models-and-moving-average-models.mp4 9.9 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/02_common-clustering-algorithms/03_dbscan-part-1.mp4 9.6 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/01_autoencoders/04_variational-autoencoders-part-2.mp4 9.5 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/06_k-means-notebook-part-2.mp4 9.4 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/01_autoencoders/02_autoencoders-part-2.mp4 9.3 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/02_k-nearest-neighbors-labs/02_optional-k-nearest-neighbors-notebook-part-2.mp4 9.2 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/02_transfer-learning/01_transfer-learning-part-1.mp4 9.2 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/04_boosting-and-stacking/03_adaboost-and-gradient-boosting-overview.mp4 9.2 MB
Coursera - Specialized Models Time Series and Survival Analysis/02_stationarity-and-time-series-smoothing/02_time-series-smoothing/01_time-series-smoothing.mp4 8.9 MB
Coursera - Exploratory Data Analysis for Machine Learning/01_a-brief-history-of-modern-ai-and-its-applications/01_course-introduction/01_course-introduction.mp4 8.5 MB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/01_dimensionality-reduction/02_dimensionality-reduction-part-2.mp4 8.3 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/05_boosting-and-stacking-labs/04_optional-boosting-notebook-part-3.mp4 8.3 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/03_clustering-notebook-part-2.mp4 8.2 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/01_k-nearest-neighbors/05_k-nearest-neighbors-with-feature-scaling.mp4 8.2 MB
Coursera - Exploratory Data Analysis for Machine Learning/02_retrieving-and-cleaning-data/01_retrieving-data/01_retrieving-data-from-csv-and-json-files.mp4 8.1 MB
Coursera - Exploratory Data Analysis for Machine Learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/04_type-1-vs-type-2-error.mp4 8.0 MB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/06_training-and-test-splits-lab-part-4.mp4 7.9 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/01_k-nearest-neighbors/03_k-nearest-neighbors-distance-measurement.mp4 7.8 MB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/01_everything-you-need-to-know-before-starting-this-course/02_welcome.mp4 7.8 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/02_introduction-to-decision-trees.mp4 7.6 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/03_k-means-part-3.mp4 7.4 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/01_k-nearest-neighbors/01_k-nearest-neighbors-for-classification.mp4 7.4 MB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/01_autoencoders/03_variational-autoencoders-part-1.mp4 7.3 MB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/02_transfer-learning/02_transfer-learning-part-2.mp4 7.3 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/01_model-interpretability/01_model-interpretability.mp4 7.1 MB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/02_activation-functions/02_backpropagation-part-2.mp4 6.9 MB
Coursera - Supervised Machine Learning Classification/03_support-vector-machines/01_support-vector-machines/03_the-support-vector-machines-cost-function.mp4 6.7 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/04_boosting-and-stacking/01_review-of-bagging.mp4 6.6 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/05_other-decision-tree-splitting-criteria.mp4 6.4 MB
Coursera - Supervised Machine Learning Classification/03_support-vector-machines/02_support-vector-machines-kernels/04_support-vector-machines-workflow.mp4 6.4 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/04_k-means-part-4.mp4 6.2 MB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/01_optimizers-and-data-shuffling/03_data-shuffling.mp4 6.0 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/04_boosting-and-stacking/04_adaboost-and-gradient-boosting-syntax.mp4 5.9 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/01_computational-hurdles-of-clustering-algorithms/01_distance-metrics-part-1.mp4 5.4 MB
Coursera - Supervised Machine Learning Classification/06_modeling-unbalanced-classes/02_modeling-unbalanced-classes/01_introduction-to-unbalanced-classes.mp4 5.3 MB
Coursera - Supervised Machine Learning Classification/03_support-vector-machines/01_support-vector-machines/01_introduction-to-support-vector-machines.mp4 5.2 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/01_k-nearest-neighbors/04_k-nearest-neighbors-pros-and-cons.mp4 5.2 MB
Coursera - Supervised Machine Learning Classification/02_k-nearest-neighbors/01_k-nearest-neighbors/02_k-nearest-neighbors-decision-boundary.mp4 4.9 MB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/02_common-clustering-algorithms/01_hierarchical-agglomerative-clustering-part-1.mp4 4.8 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/01_k-means-part-1.mp4 4.8 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/01_ensemble-based-methods-and-bagging/03_ensemble-based-methods-and-bagging-part-3.mp4 4.3 MB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/02_k-means-part-2.mp4 4.2 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/04_boosting-and-stacking/02_overview-of-boosting.mp4 4.0 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/01_overview-of-classifiers.mp4 4.0 MB
Coursera - Supervised Machine Learning Classification/04_decision-trees/01_decision-trees/04_entropy-based-splitting.mp4 3.7 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/01_ensemble-based-methods-and-bagging/01_ensemble-based-methods-and-bagging-part-1.mp4 3.7 MB
Coursera - Supervised Machine Learning Classification/03_support-vector-machines/01_support-vector-machines/02_classification-with-support-vector-machines.mp4 3.6 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/01_ensemble-based-methods-and-bagging/02_ensemble-based-methods-and-bagging-part-2.mp4 2.4 MB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/03_bagging-labs/01_optional-download-assets-for-demo-lab-bagging_Demo-Lab-Bagging.zip 298.5 KB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/04_end-of-module-review/01_summary_instructions.html 215.3 KB
Coursera - Deep Learning and Reinforcement Learning/01_introduction-to-neural-networks/03_end-of-module-review/01_summary-review_instructions.html 205.0 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/01_arma-models/03_arma-models-demo-activity_06e_DEMO_ARMA.zip 163.3 KB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/02_keras-demo-activity_05d_LAB_Keras_Intro.zip 152.7 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/06_sarima-prophet-notebook-part-4.en.srt 36.7 KB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/03_logistic-regression-labs/03_optional-logistic-regression-lab-part-2.en.srt 27.8 KB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/01_training-and-test-splits/04_training-and-test-splits-lab-part-2.en.srt 26.2 KB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/02_cross-validation-demo_Cross_Validation_Demo.zip 25.7 KB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/01_convolutional-neural-networks/07_demo-cnn-notebook-part-1.en.srt 25.6 KB
Coursera - Deep Learning and Reinforcement Learning/03_convolutional-neural-networks/02_transfer-learning/04_transfer-learning-notebook.en.srt 23.6 KB
Coursera - Unsupervised Machine Learning/02_selecting-a-clustering-algorithm/03_comparing-clustering-algorithms/02_clustering-notebook-part-1.en.srt 23.5 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/06_sarima-prophet-notebook-part-4.en.txt 23.0 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/04_sarima-prophet-notebook-part-2.en.srt 22.9 KB
Coursera - Deep Learning and Reinforcement Learning/05_deep-learning-with-autoencoders/02_autoencoders-lab/02_autoencoders-notebook-part-1.en.srt 22.5 KB
Coursera - Supervised Machine Learning Classification/05_ensemble-models/05_boosting-and-stacking-labs/03_optional-boosting-notebook-part-2.en.srt 22.4 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/03_sarima-prophet-notebook-part-1.en.srt 21.9 KB
Coursera - Deep Learning and Reinforcement Learning/02_neural-network-optimizers-and-keras/02_keras-library/04_keras-notebook-part-2.en.srt 21.5 KB
Coursera - Specialized Models Time Series and Survival Analysis/03_arma-and-arima-models/02_arima-and-sarima-models/05_sarima-prophet-notebook-part-3.en.srt 21.3 KB
Coursera - Supervised Machine Learning Classification/04_decision-trees/02_decision-trees-labs/04_optional-decision-trees-notebook-part-3.en.srt 20.6 KB
Coursera - Unsupervised Machine Learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/07_k-means-notebook-part-3.en.srt 20.6 KB
Coursera - Unsupervised Machine Learning/03_dimensionality-reduction/02_principal-component-analysis-and-matrix-factorization/02_pca-notebook-part-2.en.srt 20.1 KB
Coursera - Supervised Machine Learning Regression/02_data-splits-and-cross-validation/02_cross-validation/01_cross-validation.en.srt 20.1 KB
Coursera - Supervised Machine Learning Classification/01_logistic-regression/03_logistic-regression-labs/04_optional-logistic-regression-lab-part-3.en.srt 18.7 KB
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