Coursera - Machine Learning Algorithms with R in Business Analytics

Files Included :

01 course-introduction.mp4 (20.46 MB)
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02 about-professor-jessen-hobson.mp4 (5.93 MB)
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03 about-professor-ronald-guymon.mp4 (17.79 MB)
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03 module-1-introduction.mp4 (21.33 MB)
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01 why-isn-t-eda-enough.mp4 (24.56 MB)
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01 business-problem.mp4 (12.89 MB)
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02 data.mp4 (67.19 MB)
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03 what-problems-can-regression-answer.mp4 (29.34 MB)
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01 correlation.mp4 (45.8 MB)
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02 linear-models.mp4 (27.66 MB)
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03 simple-regression.mp4 (47.43 MB)
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04 residuals-and-predictions.mp4 (43.08 MB)
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05 multiple-regression.mp4 (45.04 MB)
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06 dummy-variables.mp4 (37.66 MB)
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01 module-1-conclusion.mp4 (6.36 MB)
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03 module-2-introduction.mp4 (35.23 MB)
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01 inference-prediction-and-experimentation.mp4 (27.63 MB)
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02 categories-of-ml-models-part-1-types-of-data-and-terms.mp4 (31.17 MB)
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03 categories-of-ml-models-part-2-categories-of-algos.mp4 (30.69 MB)
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04 how-machine-learning-works-in-general.mp4 (39.73 MB)
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05 evaluating-ml-model-quality.mp4 (28.19 MB)
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01 introduce-the-business-problem-to-solve.mp4 (12.3 MB)
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02 introduce-the-data.mp4 (14.42 MB)
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01 introduction-to-logistic-regression.mp4 (27.52 MB)
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02 logistic-regression-hands-on-one-variable-part1.mp4 (27.06 MB)
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03 logistic-regression-hands-on-one-variable-part2.mp4 (31.68 MB)
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04 logistic-regression-hands-on-one-variable-part3.mp4 (29.1 MB)
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05 logistic-regression-hands-on-multiple-variables.mp4 (24.38 MB)
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01 module-2-conclusion.mp4 (9.53 MB)
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03 module-3-introduction.mp4 (14.3 MB)
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01 introduce-the-data.mp4 (14.42 MB)
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02 introduction-to-classification.mp4 (9.82 MB)
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01 introduce-the-business-problem.mp4 (18.69 MB)
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02 introduction-to-k-nearest-neighbors.mp4 (35.85 MB)
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03 creating-knn-model-part-1.mp4 (20.37 MB)
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04 creating-knn-model-part-2.mp4 (17.03 MB)
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05 creating-knn-model-part-3.mp4 (25.46 MB)
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01 introduction-to-decision-trees.mp4 (43.29 MB)
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02 creating-decision-tree-models.mp4 (32.08 MB)
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03 evaluating-results-from-decision-trees.mp4 (31.05 MB)
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01 module-3-conclusion.mp4 (14.11 MB)
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03 module-4-introduction.mp4 (21.43 MB)
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01 introduce-the-data.mp4 (14.42 MB)
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02 introduction-to-clustering-and-questions-that-clustering-can-answer.mp4 (25.05 MB)
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03 introduce-the-business-problem.mp4 (11.59 MB)
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01 introduction-to-k-means-clustering.mp4 (31.99 MB)
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02 creating-k-means-clusters.mp4 (30.09 MB)
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03 evaluating-k-means-clusters.mp4 (28.29 MB)
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01 introduction-to-density-based-clustering.mp4 (21.42 MB)
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02 creating-density-based-clusters.mp4 (25.84 MB)
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03 evaluating-density-based-clusters.mp4 (31.11 MB)
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01 module-4-conclusion.mp4 (15.14 MB)
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01 course-conclusion.mp4 (14.98 MB)
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04 learn-on-your-terms.mp4 (2.32 MB)
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