RAR-files |
linkedin.learning.machine.learning.with.python.foundations-xqzt.rar |
50,000,000 |
5A445157 |
linkedin.learning.machine.learning.with.python.foundations-xqzt.r00 |
50,000,000 |
B057DECF |
linkedin.learning.machine.learning.with.python.foundations-xqzt.r01 |
50,000,000 |
72F44C94 |
linkedin.learning.machine.learning.with.python.foundations-xqzt.r02 |
50,000,000 |
8A07ECE5 |
linkedin.learning.machine.learning.with.python.foundations-xqzt.r03 |
50,000,000 |
9FBA3A96 |
linkedin.learning.machine.learning.with.python.foundations-xqzt.r04 |
14,460,344 |
A167D5F1 |
|
Total size: |
264,460,344 |
|
|
Archived
files |
01.01-machine_learning_in_our_world.mkv
[f298fc08ef59f9d3]
|
3,562,295 |
7A85EEDA |
01.02-what_you_should_know.mkv
[c5afb0c31d20b4bd]
|
1,288,195 |
0E0F712D |
01.03-the_tools_you_need.mkv
[afbf4b9492f87dca]
|
1,681,818 |
0800AAC5 |
01.04-using_the_exercise_files.mkv
[ae9687ddb8aa9cd2]
|
7,445,268 |
0EBD441B |
02.01-what_is_machine_learning.mkv
[363fc7ff5fbcf1fe]
|
8,636,276 |
0CD1FE21 |
02.02-what_is_not_machine_learning.mkv
[3b3204068bc88dc4]
|
11,419,816 |
728009A3 |
02.03-what_is_unsupervised_learning.mkv
[2054ddf99fd66256]
|
6,441,826 |
077E07E6 |
02.04-what_is_supervised_learning.mkv
[a3b42811ec61a5de]
|
9,254,312 |
53930B0A |
02.05-what_is_reinforcement_learning.mkv
[3294f4d6a72aeb8c]
|
12,734,306 |
7384804E |
02.06-what_are_the_steps_to_machine_learning.mkv
[ccbaf92be6f7a38c]
|
18,028,922 |
12E693F7 |
03.01-things_to_consider_when_collecting_data.mkv
[b668a5af054142f5]
|
11,809,363 |
A5DA8822 |
03.02-how_to_import_data_in_python.mkv
[9fac8ac2d61a2387]
|
13,901,585 |
7C70E039 |
04.01-describe_your_data.mkv
[ca9da74cb25eac03]
|
7,126,540 |
7CBE0E81 |
04.02-how_to_summarize_data_in_python.mkv
[746c92136f85d35a]
|
15,697,815 |
A62A6981 |
04.03-visualize_your_data.mkv
[2e568762af7d3842]
|
8,066,341 |
B596D195 |
04.04-how_to_visualize_data_in_python.mkv
[e74dafb57886c856]
|
16,083,684 |
55AF1807 |
05.01-common_data_quality_issues.mkv
[ceb67c87260e07a0]
|
8,100,099 |
44B6C7DD |
05.02-how_to_resolve_missing_data_in_python.mkv
[33bd40a5d56bd3c7]
|
22,505,988 |
7FD4D7FC |
05.03-normalizing_your_data.mkv
[424ac2a12725095d]
|
9,858,911 |
4575A28F |
05.04-how_to_normalize_data_in_python.mkv
[9d554594cbeff3f9]
|
11,566,170 |
CE02A2ED |
05.05-sampling_your_data.mkv
[6e2270c42ac9902]
|
8,636,754 |
9EF437DE |
05.06-how_to_sample_data_in_python.mkv
[2219af38853e6f54]
|
17,057,074 |
FC8A5FE4 |
05.07-reducing_the_dimensionality_of_your_data.mkv
[c374b4b961d5a5d7]
|
6,867,352 |
DEE6683C |
06.01-classification_vs._regression_problems.mkv
[fd062908191602cd]
|
7,118,821 |
575B6107 |
06.02-how_to_build_a_machine_learning_model_in_python.mkv
[b673107865c36f4]
|
16,143,897 |
CB18B319 |
07.01-next_steps_with_applied_machine_learning.mkv
[916f0dda183d312c]
|
2,498,846 |
381C9363 |
Ex_Files_ML_with_Python_Foundations.zip |
925,371 |
1B492459 |
|
Total size: |
264,457,645 |
|
|