Collecting treasures for digital archeologists.
  • U: Anonymous
  • D: 2021-01-29 21:08:20
  • C: Unknown

RELEASE >

ReScene version pyReScene Auto 0.7 SkilledHares File size CRC
Download
49,625
Stored files
1,809 6CC31DC6
38,476 ABFD060B
1,260 1F4595F9
RAR-files
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.rar 150,000,000 647CCCAC
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r00 150,000,000 E36E48E7
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r01 150,000,000 E8C6E567
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r02 150,000,000 E4F211E8
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r03 150,000,000 621B7DDA
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r04 150,000,000 37542B6A
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r05 150,000,000 C6A8F456
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r06 150,000,000 95FFD59E
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r07 150,000,000 243C2732
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares.r08 148,901,333 76FE6AC3

Total size: 1,498,901,333
Archived files
01-python_ml_libraries___course_intro.mkv [7e6b78c34a347c28] 36,309,799 4E762C3F
02-ml_crash_course___overall_blueprint.mkv [b592e55345ac8de4] 20,598,758 8B620F75
03-machine_learning_big_picture.mkv [d878c2b3962e22fb] 10,967,345 A9373BCE
04-tools_and_requirements_for_the_course_1.mkv [a0ea0deb4665445d] 10,958,850 0E8E145B
05-scikit_learn_introduction.mkv [4873e473186ff26f] 119,383,628 09454D6B
06-pre_processing_intro_and_standard_scaler_method.mkv [97b8ee0734c431dd] 129,157,298 F1FC37CB
07-feature_encoding_methods.mkv [9045e5b765da10f4] 106,703,540 411E1CA2
08-pre_processing_normalization.mkv [8c31d7de07cd9150] 40,381,357 F5573697
09-dimensionality_reduction_intro.mkv [be3112598955275d] 15,671,495 F190FDE1
10-dimensionality_reduction_using_pca.mkv [e7da90f2080a46f5] 49,747,525 F25B53BE
11-advanced1___model_selection_grid_search_method_implementation.mkv [85b052d089f61886] 161,465,598 0C25C48C
12-model_selection_using_optimization___introduction.mkv [a08e56ea308527ac] 26,854,590 61F424A9
13-supervised_ml_intro.mkv [ef7db4a1ef9c5e6] 24,035,175 B583A653
14-supervised_ml_based_model.mkv [b9c86d906b6c4a90] 119,596,262 924CA250
15-unsupervised_learning_model_intro.mkv [4ae4ef375717bd3b] 33,477,514 F62E2E7F
16-k_means_clustering_implementation.mkv [9aabd4ecd4dce640] 85,862,009 D7CE75AC
17-scikit_learn_exercise.mkv [c8ebda347ac589cd] 26,213,570 16D1DE5E
18-scikit_learn_exercise_solution_walkthrough.mkv [fec594e5c8761bc6] 82,617,963 77E90B72
19-scikit_learn_exercise_2.mkv [d0889b25e5cffd] 11,477,957 256EF97C
20-scikit_learn_exercise_2___solution_code_walk_through.mkv [3f6f058b80b2d81d] 46,823,338 A6E2A5A6
21-scikit_learn_course_summary.mkv [e5cf7c4e976eb381] 37,174,687 01E93B57
22-mlxtend_course_intro.mkv [f631dfe6e87af15f] 7,443,844 6FCC01C6
23-mlxtend_api_overview.mkv [708363f4dea578ea] 7,116,784 D4DCA097
24-mlxtend_api_importing_steps.mkv [23ec0b5ff0162109] 18,279,714 75B046C1
25-mlxtend_classifer_model_building_steps.mkv [7d4222a0fb05d5c5] 11,382,252 70D82DC1
26-mlxtend_classifier_code_demo.mkv [8f67403d031381f8] 31,627,503 0AD689D6
27-mlxtend_math_api_demo_codes.mkv [3565d3737e056f47] 39,822,918 C454DE85
28-mlxtend_math_api.mkv [85a24dd874465193] 4,688,120 E0C87707
29-mlxtend_regressor_model_steps.mkv [fb1003e2d631060b] 8,070,771 DE288084
30-mlxtend_regressor_model_code_demo.mkv [37a16b96f3774ee9] 46,008,309 7DDF543A
31-mlxtend_plotting_api.mkv [d199180efd5a850d] 9,039,750 12EDB1C0
32-mlxtend_plotting_code_walk_thru.mkv [251965359adce0bd] 22,802,616 EC76516E
33-mlxtend_feature_selection_method_steps.mkv [75a46f94197c9488] 16,794,172 F2D25105
34-mlxtend_exercise_tasks.mkv [5f4ae43df4236013] 10,279,961 DA859CAC
35-mlxtend_exercise_solution_walk_thru_step_by_step.mkv [f159953cec35f69a] 32,604,781 3AB8D860
36-mlxtend_exercise_2.mkv [5842cd47c34cba25] 3,451,034 FE3D77C9
37-mlxend_exercise2_solution_code_walk_thru.mkv [b26fa9124a9fec32] 19,076,522 1DF7C3AE
38-mlxtend_summary.mkv [171dedc234679a1b] 5,986,616 2808FF1F
MachineLearningFiles.zip.zip 8,943,388 77D06A1D

Total size: 1,498,897,313
Video files
Sample
skillshare.machine.learning.profits.top.5.python.machine.learning.libraries.you.must.learn.in.2021-skilledhares-sample.mkv 11,875,491 489E763A
RAR Recovery
Not Present
Labels UNKNOWN