|
RAR-files |
| linkedin.learning.supervised.learning.essential.training-xqzt.rar |
50,000,000 |
5C4D02A6 |
| linkedin.learning.supervised.learning.essential.training-xqzt.r00 |
50,000,000 |
ED820B3D |
| linkedin.learning.supervised.learning.essential.training-xqzt.r01 |
50,000,000 |
908AC07E |
| linkedin.learning.supervised.learning.essential.training-xqzt.r02 |
50,000,000 |
370A8831 |
| linkedin.learning.supervised.learning.essential.training-xqzt.r03 |
50,000,000 |
14FD9CF3 |
| linkedin.learning.supervised.learning.essential.training-xqzt.r04 |
11,940,760 |
FA00376E |
|
| Total size: |
261,940,760 |
|
|
| Archived
files |
|
01.01-supervised_machine_learning_and_the_technology_boom.mkv
[438d657ba08f1e03]
|
23,816,036 |
BCE0ECDB |
|
01.02-using_the_exercise_files.mkv
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|
1,974,387 |
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|
01.03-what_you_should_know.mkv
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|
1,090,936 |
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|
02.01-what_is_supervised_learning.mkv
[344cf212b959c755]
|
8,058,239 |
8385B6A6 |
|
02.02-python_supervised_learning_packages.mkv
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|
2,234,020 |
995A16B7 |
|
02.03-predicting_with_supervised_learning.mkv
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|
5,591,118 |
C81CD22F |
|
03.01-defining_logistic_and_linear_regression.mkv
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|
7,605,328 |
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|
03.02-steps_to_prepare_data_for_modeling.mkv
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|
12,454,785 |
7C639D83 |
|
03.03-checking_your_dataset_for_assumptions.mkv
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|
18,375,643 |
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|
03.04-creating_a_linear_regression_model.mkv
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|
7,087,721 |
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|
03.05-creating_a_logistic_regression_model.mkv
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|
10,614,322 |
7366B781 |
|
03.06-evaluating_regression_model_predictions.mkv
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|
6,425,945 |
093D58C7 |
|
04.01-identify_common_decision_trees.mkv
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|
4,926,232 |
942989A7 |
|
04.02-splitting_data_and_limiting_decision_tree_depth.mkv
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10,974,534 |
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|
04.03-how_to_build_a_decision_tree.mkv
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5,689,538 |
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04.04-creating_your_first_decision_trees.mkv
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7,318,939 |
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|
04.05-analyzing_decision_tree_performance.mkv
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|
16,950,934 |
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|
04.06-exploring_how_ensemble_methods_create_strong_learners.mkv
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|
4,966,289 |
676B75AA |
|
05.01-discovering_your_k-nearest_neighbors.mkv
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|
7,318,784 |
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|
05.02-whats_the_big_deal_about_k.mkv
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|
5,717,473 |
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|
05.03-how_to_assemble_a_knn_model.mkv
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|
5,013,353 |
F862D4BF |
|
05.04-building_your_own_knn.mkv
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|
20,133,674 |
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|
05.05-deciphering_knn_model_metrics.mkv
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|
11,427,401 |
196856CE |
|
06.01-biological_vs._artificial_neural_networks.mkv
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|
8,639,478 |
7C00124E |
|
06.02-preprocessing_data_for_modeling.mkv
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|
5,367,311 |
6C17F3E8 |
|
06.03-how_neural_networks_find_patterns_in_data.mkv
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|
5,314,257 |
27F0A676 |
|
06.04-assembling_your_neural_networks.mkv
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|
9,139,972 |
02BB5D8F |
|
06.05-comparing_networks_and_selecting_final_models.mkv
[8bd3851f94ce38c7]
|
4,099,093 |
26877C30 |
|
07.01-ethical_overview.mkv
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|
7,710,615 |
38488EE9 |
|
07.02-how_can_i_keep_developing_my_skills_in_supervised_learning.mkv
[3ed494b13962a910]
|
12,285,186 |
77EE2379 |
|
Ex_Files_Supervised_Learning.zip |
3,616,023 |
922070C9 |
|
| Total size: |
261,937,566 |
|
|
