Coursera - IBM Introduction to Machine Learning Specialization 2024-2

Creation Time	Sept. 5, 2024, 12:57 p.m.
Last Access Time	Nov. 1, 2024, 5:38 a.m.
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Keywords	IBM 2024-2 Introduction Coursera - Machine to Learning Specialization
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Total Files	626
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supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/02_polynomial-features-and-regularization-demo/01_polynomial-features-and-regularization-demo-part-1.mp4 30.9 MB
supervised-machine-learning-classification/01_logistic-regression/01_everything-you-need-to-know-before-starting-this-course/03_optional-download-data-assets_Data_and_Python_Assets.zip 27.9 MB
supervised-machine-learning-classification/04_decision-trees/02_decision-trees-labs/04_optional-decision-trees-notebook-part-3.mp4 27.3 MB
supervised-machine-learning-regression/02_data-splits-and-polynomial-regression/01_training-and-test-splits/04_optional-training-and-test-splits-lab-part-2.mp4 26.5 MB
supervised-machine-learning-classification/01_logistic-regression/03_logistic-regression-labs/03_optional-logistic-regression-lab-part-2.mp4 25.7 MB
supervised-machine-learning-classification/05_ensemble-models/05_boosting-and-stacking-labs/03_optional-boosting-notebook-part-2.mp4 25.3 MB
supervised-machine-learning-classification/05_ensemble-models/05_boosting-and-stacking-labs/01_optional-download-assets-for-demo-lab-boosting-and-stacking_Demo_Lab-Boosting_and_Stacking_Assets.zip 25.1 MB
supervised-machine-learning-classification/01_logistic-regression/03_logistic-regression-labs/01_optional-download-assets-for-demo-lab-logistic-regression_Demo_Lab-Logistic_Regression_Assets.zip 25.0 MB
supervised-machine-learning-classification/01_logistic-regression/03_logistic-regression-labs/04_optional-logistic-regression-lab-part-3.mp4 21.9 MB
ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/02_comparing-clustering-algorithms/02_clustering-notebook-part-1.mp4 21.6 MB
supervised-machine-learning-classification/01_logistic-regression/03_logistic-regression-labs/02_optional-logistic-regression-lab-part-1.mp4 21.6 MB
ibm-exploratory-data-analysis-for-machine-learning/03_exploratory-data-analysis-and-feature-engineering/02_feature-engineering-and-variable-transformation/08_optional-solution-feature-engineering-lab-part-2.mp4 21.6 MB
supervised-machine-learning-classification/03_support-vector-machines/03_support-vector-machines-labs/03_optional-support-vector-machines-notebook-part-3.mp4 19.5 MB
ibm-unsupervised-machine-learning/04_dimensionality-reduction/01_dimensionality-reduction/04_dimensionality-reduction-notebook-part-2.mp4 18.8 MB
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
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/07_optional-k-means-notebook-part-3.mp4 18.6 MB
supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/03_linear-regression/04_optional-linear-regression-demo-part2.mp4 18.6 MB
ibm-unsupervised-machine-learning/02_distance-metrics-computational-hurdles/01_computational-hurdles-of-clustering-algorithms/04_curse-of-dimensionality-notebook-part-2.mp4 18.5 MB
ibm-unsupervised-machine-learning/02_distance-metrics-computational-hurdles/01_computational-hurdles-of-clustering-algorithms/05_curse-of-dimensionality-notebook-part-3.mp4 18.3 MB
ibm-exploratory-data-analysis-for-machine-learning/03_exploratory-data-analysis-and-feature-engineering/02_feature-engineering-and-variable-transformation/07_optional-solution-feature-engineering-lab-part-1.mp4 18.3 MB
ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/02_comparing-clustering-algorithms/01_comparing-algorithms.mp4 17.9 MB
ibm-unsupervised-machine-learning/02_distance-metrics-computational-hurdles/01_computational-hurdles-of-clustering-algorithms/03_curse-of-dimensionality-notebook-part-1.mp4 17.4 MB
ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/02_comparing-clustering-algorithms/05_clustering-notebook-part-4.mp4 17.3 MB
ibm-unsupervised-machine-learning/04_dimensionality-reduction/01_dimensionality-reduction/03_optional-dimensionality-reduction-notebook-part-1.mp4 17.1 MB
supervised-machine-learning-regression/03_cross-validation/01_cross-validation/04_cross-validation-demo-part-3.mp4 16.6 MB
supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/02_polynomial-features-and-regularization-demo/02_polynomial-features-and-regularization-demo-part-2.mp4 16.4 MB
ibm-unsupervised-machine-learning/05_nonlinear-and-distance-based-dimensionality-reduction/01_kernel-principal-component-analysis-and-multidimensional-scaling/02_dimensionality-reduction-notebook-part-3.mp4 16.3 MB
ibm-exploratory-data-analysis-for-machine-learning/03_exploratory-data-analysis-and-feature-engineering/01_exploratory-data-analysis/06_optional-solution-eda-notebook-part-2.mp4 16.2 MB
supervised-machine-learning-regression/03_cross-validation/01_cross-validation/05_cross-validation-demo-part-4.mp4 16.1 MB
ibm-unsupervised-machine-learning/02_distance-metrics-computational-hurdles/01_computational-hurdles-of-clustering-algorithms/06_curse-of-dimensionality-notebook-part-4.mp4 16.1 MB
ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/11_optional-hypothesis-testing-demo-part-2.mp4 15.6 MB
supervised-machine-learning-regression/02_data-splits-and-polynomial-regression/01_training-and-test-splits/05_optional-training-and-test-splits-lab-part-3.mp4 15.1 MB
supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/02_polynomial-features-and-regularization-demo/03_polynomial-features-and-regularization-demo-part-3.mp4 15.1 MB
supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/03_linear-regression/03_optional-linear-regression-demo-part1.mp4 15.0 MB
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
ibm-exploratory-data-analysis-for-machine-learning/03_exploratory-data-analysis-and-feature-engineering/02_feature-engineering-and-variable-transformation/09_optional-solution-feature-engineering-lab-part-3.mp4 14.7 MB
ibm-unsupervised-machine-learning/06_matrix-factorization/01_matrix-factorization/01_non-negative-matrix-factorization.mp4 14.6 MB
ibm-exploratory-data-analysis-for-machine-learning/02_retrieving-and-cleaning-data/01_retrieving-data/02_retrieving-data-from-databases-apis-and-the-cloud.mp4 14.5 MB
supervised-machine-learning-regression/05_regularization-details/01_details-of-regularization/05_optional-details-of-regularization-part-3.mp4 14.4 MB
ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/01_common-clustering-algorithms/06_mean-shift.mp4 14.3 MB
supervised-machine-learning-regression/03_cross-validation/01_cross-validation/02_cross-validation-demo-part-1.mp4 14.2 MB
supervised-machine-learning-classification/05_ensemble-models/03_bagging-labs/04_optional-bagging-notebook-part-3.mp4 14.2 MB
supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/02_introduction-to-supervised-machine-learning/04_supervised-machine-learning-part-2.mp4 14.2 MB
ibm-exploratory-data-analysis-for-machine-learning/01_a-brief-history-of-modern-ai-and-its-applications/02_introduction-to-artificial-intelligence-and-machine-learning/02_machine-learning-and-deep-learning.mp4 14.0 MB
supervised-machine-learning-regression/05_regularization-details/01_details-of-regularization/04_optional-details-of-regularization-part-2.mp4 13.9 MB
supervised-machine-learning-regression/03_cross-validation/01_cross-validation/03_cross-validation-demo-part-2.mp4 13.8 MB
supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/01_regularization-techniques/04_ridge-regression.mp4 13.6 MB
supervised-machine-learning-classification/03_support-vector-machines/03_support-vector-machines-labs/02_optional-support-vector-machines-notebook-part-2.mp4 13.6 MB
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/05_optional-k-means-notebook-part-1.mp4 13.6 MB
ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/12_correlation-vs-causation.mp4 13.4 MB
supervised-machine-learning-classification/01_logistic-regression/02_logistic-regression-introduction-to-classification-and-error-metrics/06_confusion-matrix-accuracy-specificity-precision-and-recall.mp4 13.4 MB
supervised-machine-learning-classification/04_decision-trees/02_decision-trees-labs/03_optional-decision-trees-notebook-part-2.mp4 13.3 MB
supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/01_regularization-techniques/03_regularization-and-model-selection.mp4 13.3 MB
ibm-unsupervised-machine-learning/06_matrix-factorization/01_matrix-factorization/02_non-negative-matrix-factorization-notebook-part-1.mp4 13.2 MB
supervised-machine-learning-regression/02_data-splits-and-polynomial-regression/02_polynomial-regression/01_polynomial-regression.mp4 13.0 MB
supervised-machine-learning-classification/03_support-vector-machines/03_support-vector-machines-labs/01_optional-support-vector-machines-notebook-part-1.mp4 12.7 MB
supervised-machine-learning-classification/06_modeling-unbalanced-classes/01_model-interpretability/04_surrogate-models.mp4 12.6 MB
supervised-machine-learning-regression/02_data-splits-and-polynomial-regression/01_training-and-test-splits/03_optional-training-and-test-splits-lab-part-1.mp4 12.4 MB
ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/01_common-clustering-algorithms/05_visualizing-dbscan.mp4 12.2 MB
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/01_introduction-to-unsupervised-learning/01_course-introduction.mp4 12.0 MB
ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/07_significance-level-and-p-values.mp4 12.0 MB
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/01_introduction-to-unsupervised-learning/02_introduction-to-unsupervised-learning-overview.mp4 12.0 MB
supervised-machine-learning-classification/05_ensemble-models/03_bagging-labs/02_optional-bagging-notebook-part-1.mp4 12.0 MB
ibm-unsupervised-machine-learning/04_dimensionality-reduction/01_dimensionality-reduction/02_dimensionality-reduction-principal-component-analysis.mp4 11.8 MB
supervised-machine-learning-regression/05_regularization-details/01_details-of-regularization/03_optional-details-of-regularization-part-1.mp4 11.8 MB
supervised-machine-learning-classification/04_decision-trees/01_decision-trees/06_pros-and-cons-of-decision-trees.mp4 11.7 MB
supervised-machine-learning-regression/04_bias-variance-trade-off-and-regularization-techniques-ridge-lasso-and-elastic/01_regularization-techniques/01_bias-variance-trade-off-part-1.mp4 11.7 MB
ibm-unsupervised-machine-learning/04_dimensionality-reduction/01_dimensionality-reduction/05_dimensionality-reduction-imaging-example.mp4 11.6 MB
ibm-exploratory-data-analysis-for-machine-learning/03_exploratory-data-analysis-and-feature-engineering/01_exploratory-data-analysis/08_optional-solution-eda-notebook-part-4.mp4 11.5 MB
supervised-machine-learning-classification/06_modeling-unbalanced-classes/01_model-interpretability/03_model-agnostic-explanations.mp4 11.5 MB
supervised-machine-learning-regression/03_cross-validation/01_cross-validation/06_cross-validation-demo-part-5.mp4 11.5 MB
supervised-machine-learning-classification/04_decision-trees/01_decision-trees/03_building-a-decision-tree.mp4 11.4 MB
ibm-exploratory-data-analysis-for-machine-learning/01_a-brief-history-of-modern-ai-and-its-applications/03_modern-ai-applications-and-the-machine-learning-workflow/03_machine-learning-workflow.mp4 11.4 MB
ibm-exploratory-data-analysis-for-machine-learning/02_retrieving-and-cleaning-data/02_data-cleaning/01_data-cleaning.mp4 11.2 MB
supervised-machine-learning-classification/06_modeling-unbalanced-classes/02_modeling-unbalanced-classes/02_upsampling-and-downsampling.mp4 11.1 MB
supervised-machine-learning-classification/03_support-vector-machines/01_support-vector-machines/04_regularization-in-support-vector-machines.mp4 11.0 MB
ibm-exploratory-data-analysis-for-machine-learning/02_retrieving-and-cleaning-data/02_data-cleaning/02_handling-missing-values-and-outliers.mp4 11.0 MB
supervised-machine-learning-regression/05_regularization-details/01_details-of-regularization/01_further-details-of-regularization-part-1.mp4 10.9 MB
supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/03_linear-regression/01_introduction-to-linear-regression-part-1.mp4 10.9 MB
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supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/03_linear-regression/02_introduction-to-linear-regression-part-2.mp4 10.7 MB
supervised-machine-learning-classification/01_logistic-regression/02_logistic-regression-introduction-to-classification-and-error-metrics/01_introduction-what-is-classification.mp4 10.6 MB
ibm-exploratory-data-analysis-for-machine-learning/01_a-brief-history-of-modern-ai-and-its-applications/03_modern-ai-applications-and-the-machine-learning-workflow/01_modern-ai.mp4 10.6 MB
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supervised-machine-learning-regression/05_regularization-details/01_details-of-regularization/02_further-details-of-regularization-part-2.mp4 10.6 MB
ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/01_estimation-and-inference-and-hypothesis-testing/05_frequentist-vs-bayesian-statistics.mp4 10.4 MB
ibm-unsupervised-machine-learning/02_distance-metrics-computational-hurdles/01_computational-hurdles-of-clustering-algorithms/02_distance-metrics-cosine-and-jaccard-distance.mp4 10.4 MB
supervised-machine-learning-classification/05_ensemble-models/03_bagging-labs/03_optional-bagging-notebook-part-2.mp4 10.3 MB
supervised-machine-learning-classification/04_decision-trees/02_decision-trees-labs/02_optional-decision-trees-notebook-part-1.mp4 10.3 MB
supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/02_introduction-to-supervised-machine-learning/05_regression-and-classification-examples.mp4 10.3 MB
supervised-machine-learning-classification/05_ensemble-models/02_random-forest/01_random-forest.mp4 10.3 MB
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supervised-machine-learning-regression/01_introduction-to-supervised-machine-learning-and-linear-regression/02_introduction-to-supervised-machine-learning/02_introduction-to-supervised-machine-learning-types-of-machine-learning-part-2.mp4 8.8 MB
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ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/01_common-clustering-algorithms/02_hierarchical-agglomerative-clustering-hierarchical-linkage-types.mp4 8.7 MB
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ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/01_estimation-and-inference-and-hypothesis-testing/01_estimation-and-inference-introduction.mp4 8.6 MB
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ibm-unsupervised-machine-learning/03_selecting-a-clustering-algorithm/02_comparing-clustering-algorithms/03_clustering-notebook-part-2.mp4 8.2 MB
supervised-machine-learning-classification/02_k-nearest-neighbors/01_k-nearest-neighbors/05_k-nearest-neighbors-with-feature-scaling.mp4 8.2 MB
ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/01_estimation-and-inference-and-hypothesis-testing/04_estimation-and-inference-commonly-used-distributions.mp4 8.1 MB
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/01_introduction-to-unsupervised-learning/03_introduction-to-unsupervised-learning-use-cases-of-clustering.mp4 8.1 MB
ibm-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
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ibm-exploratory-data-analysis-for-machine-learning/04_inferential-statistics-and-hypothesis-testing/02_hypothesis-testing/10_optional-hypothesis-testing-demo-part-1.mp4 8.1 MB
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ibm-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
supervised-machine-learning-regression/02_data-splits-and-polynomial-regression/01_training-and-test-splits/06_optional-training-and-test-splits-lab-part-4.mp4 7.9 MB
supervised-machine-learning-classification/02_k-nearest-neighbors/01_k-nearest-neighbors/03_k-nearest-neighbors-distance-measurement.mp4 7.8 MB
supervised-machine-learning-classification/01_logistic-regression/01_everything-you-need-to-know-before-starting-this-course/02_welcome.mp4 7.8 MB
ibm-unsupervised-machine-learning/01_introduction-to-unsupervised-learning-and-k-means/02_k-means-clustering/03_selecting-the-right-number-of-clusters-in-k-means.mp4 7.6 MB
supervised-machine-learning-classification/04_decision-trees/01_decision-trees/02_introduction-to-decision-trees.mp4 7.6 MB
ibm-exploratory-data-analysis-for-machine-learning/01_a-brief-history-of-modern-ai-and-its-applications/02_introduction-to-artificial-intelligence-and-machine-learning/06_history-of-machine-learning-and-deep-learning.mp4 7.5 MB
ibm-exploratory-data-analysis-for-machine-learning/01_a-brief-history-of-modern-ai-and-its-applications/02_introduction-to-artificial-intelligence-and-machine-learning/03_machine-learning-and-deep-learning-part-1.mp4 7.5 MB
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