|
RAR-files |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.rar |
200,000,000 |
9800D65F |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r00 |
200,000,000 |
77E37726 |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r01 |
200,000,000 |
F357B02F |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r02 |
200,000,000 |
3A50F37F |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r03 |
200,000,000 |
B8F1667C |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r04 |
200,000,000 |
2B24595F |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r05 |
200,000,000 |
99BB5A84 |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r06 |
200,000,000 |
CDFBCB6E |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r07 |
200,000,000 |
8F439A4A |
| skillshare.introduction.to.data.science.for.complete.beginners-skilledhares.r08 |
109,318,391 |
41C1265E |
|
| Total size: |
1,909,318,391 |
|
|
| Archived
files |
|
01-course_outline_.mkv
[696da23128237929]
|
39,380,729 |
8D9F64E0 |
|
02-about_the_author_.mkv
[22819ac1c865ee27]
|
5,120,308 |
62A9BA23 |
|
03-lesson_1_what_is_data_science.mkv
[399c968e4a646bda]
|
86,895,298 |
585EEA5E |
|
04-lesson_2_ai_vs_ml_vs_dl_vs_ds.mkv
[c7eeac2c115816d4]
|
102,324,330 |
C2472A1C |
|
05-lesson_3_traditional_programming_vs_machine_learning.mkv
[e536a1f4963c472f]
|
159,081,878 |
94032993 |
|
06-lesson_4_supervised_learning_vs_unsupervised_learning_.mkv
[48b80f7383639dfa]
|
142,281,276 |
38409C05 |
|
07-lesson_5_supervised_learning_in_details.mkv
[ded06c428c2615de]
|
113,087,667 |
04CC82E0 |
|
08-lesson_6_examples_of_supervised_learning.mkv
[52dbba7e094d7a83]
|
119,074,105 |
8993E741 |
|
09-lesson_7_unsupervised_learning.mkv
[9237e86c3fe15f6f]
|
133,285,761 |
C718E6A7 |
|
10-lesson_8_examples_of_unsupervised_learning.mkv
[730f4f625f83a034]
|
153,951,614 |
773C3619 |
|
11-lesson_9_data_science_applications.mkv
[2a8cc8605d9999be]
|
38,824,566 |
4E9462A9 |
|
12-lesson_10_machine_learning_terminologies.mkv
[b81f007c7fb5dd68]
|
80,792,059 |
D4003136 |
|
13-lesson_11_machine_learning_terminologies_in_details_part_1.mkv
[9578df990a8d2510]
|
116,006,858 |
E5300E08 |
|
14-lesson_12_machine_learning_terminologies_part_2.mkv
[26b10c6b1a68ae30]
|
77,203,724 |
93F59C72 |
|
15-lesson_13_data_science_workflow_part_1.mkv
[5297f21f09aaec7f]
|
76,013,236 |
7F7EFC4B |
|
16-lesson_14_data_science_workflow_part_2.mkv
[96cab870c1eb9864]
|
46,964,528 |
22D3015D |
|
17-lesson_15_data_types.mkv
[33e210014a596df4]
|
32,515,084 |
297D809E |
|
18-lesson_16_ds_vs_da_vs_mle_vs_de.mkv
[58717ec2522a4651]
|
191,091,036 |
915F9B58 |
|
19-lesson_17_skills_needed_to_become_a_data_scientist.mkv
[f93dfb4b585d2e83]
|
67,460,404 |
15260620 |
|
20-lesson_18_how_to_study_data_science.mkv
[406846b7b7f46c5]
|
122,463,093 |
23936787 |
|
Intro2DataScience-ENG.pdf.pdf |
5,498,001 |
051D9E4B |
|
| Total size: |
1,909,315,555 |
|
|
