Coursera - Predictive Modeling and Machine Learning with MATLAB

[AD-TEAM]

596.59 MB | 00:07:24 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 practical-data-science-with-matlab  (21.9 MB)
02 instructor-introduction  (10.99 MB)
05 introduction-to-supervised-machine-learning  (28.82 MB)
02 introduction-to-the-taxi-data  (29.37 MB)
04 creating-and-cleaning-features  (17.87 MB)
01 introduction-to-regression  (15.71 MB)
03 using-the-regression-learner-app  (20.49 MB)
01 customizing-model-parameters  (21.55 MB)
02 evaluating-regression-models  (14.53 MB)
04 evaluate-your-model-in-matlab  (20.39 MB)
05 summary-of-regression  (4.05 MB)
02 introduction-to-classification  (17.35 MB)
04 using-the-classification-learner-app  (25.13 MB)
01 evaluating-classification-models  (24.5 MB)
03 evaluating-classification-models-in-matlab  (13.17 MB)
01 training-a-multiclass-model  (14.68 MB)
04 summary-of-classification  (5.65 MB)
02 addressing-underfitting-and-overfitting  (15.13 MB)
03 using-validation-data-during-training  (11.5 MB)
01 embedded-methods-for-feature-selection  (16.78 MB)
02 using-regularization-to-prevent-overfitting  (13.2 MB)
01 introduction-to-ensemble-models  (8.52 MB)
02 training-ensemble-models  (20.03 MB)
01 introduction-to-hyperparameters  (11.79 MB)
02 optimizing-hyperparameters  (19.67 MB)
03 evaluating-and-using-your-model  (27.62 MB)
04 summary-of-module-3  (7.12 MB)
03 handling-class-imbalance  (18.99 MB)
06 reducing-specific-errors-using-cost-matrices  (15.91 MB)
01 integrating-your-model  (13.84 MB)
04 a-discussion-with-heather  (63.76 MB)
05 summary-of-predictive-modeling-and-machine-learning  (19 MB)

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