Introduction To Machine Learning Supervised Learning

[0dayddl]

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532.82 MB | 00:19:41 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
03 introduction.mp4 (22.51 MB)
02 simple-linear-regression.mp4 (15.43 MB)
02 least-squared-method.mp4 (15.48 MB)
03 model-fitness-and-r-squared.mp4 (12.19 MB)
04 coefficient-significance-and-test-error.mp4 (24.47 MB)
03 linear-regression-with-higher-order-terms-polynomial-regression.mp4 (16.76 MB)
02 bias-variance-trade-off.mp4 (9.09 MB)
02 linear-regression-with-multiple-features.mp4 (15.67 MB)
03 feature-selection-correlation-and-interaction.mp4 (18.02 MB)
02 logistic-regression-introduction.mp4 (18.89 MB)
02 logistic-regression-optimization.mp4 (25.49 MB)
03 performance-metrics-in-classification.mp4 (17.56 MB)
01 sklearn-library-usage-and-examples.mp4 (20.02 MB)
02 intro-to-non-parametric-and-k-nearest-neighbors.mp4 (21.71 MB)
02 decision-tree-intro-decision-tree-regressor.mp4 (15.47 MB)
02 decision-tree-classifier-metrics-gini-and-entropy.mp4 (24.97 MB)
01 sklearn-usage-dt-hyperparameters-and-early-stopping.mp4 (12.17 MB)
03 minimal-cost-complexity-pruning.mp4 (11.26 MB)
02 ensemble-method-intro-random-forest.mp4 (11.26 MB)
02 boosting-introduction.mp4 (11.35 MB)
02 adaboost-algorithm.mp4 (11 MB)
04 gradient-boosting.mp4 (19.7 MB)
02 support-vector-machine-introduction.mp4 (20.58 MB)
02 support-vector-machine-soft-margin-classifier.mp4 (19.52 MB)
04 support-vector-machine-kernel-trick.mp4 (12.73 MB)
01 support-vector-machine-performance.mp4 (24.6 MB)]
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