|
RAR-files |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.rar |
650,000,000 |
6A412408 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r00 |
650,000,000 |
EAFF0145 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r01 |
650,000,000 |
9B1D2C24 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r02 |
650,000,000 |
9CFFE785 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r03 |
650,000,000 |
6B0CDEAD |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r04 |
650,000,000 |
5D860BB3 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r05 |
650,000,000 |
DFBC3A82 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r06 |
650,000,000 |
18BEEDF1 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r07 |
650,000,000 |
FC084483 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r08 |
650,000,000 |
7801CC3E |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r09 |
650,000,000 |
48ED91E4 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r10 |
650,000,000 |
031D099B |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r11 |
650,000,000 |
E64D7EF7 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r12 |
650,000,000 |
3DACFCEB |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r13 |
650,000,000 |
4180BF35 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r14 |
650,000,000 |
DE5EB544 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r15 |
650,000,000 |
7E3B5C0C |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r16 |
650,000,000 |
C9DECDCE |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r17 |
650,000,000 |
0941D11A |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r18 |
650,000,000 |
865F4830 |
| skillshare.data.science.and.machine.learning.with.r.masterclass-skilledhares.r19 |
187,195,757 |
123086F5 |
|
| Total size: |
13,187,195,757 |
|
|
| Archived
files |
|
01-data_science_and_ml_with_r_course_overview.mkv
[695a6800ad469678]
|
37,457,159 |
19CCF8B8 |
|
02-what_is_data_science.mkv
[835f812fba28ef79]
|
125,668,938 |
24047376 |
|
03-machine_learning_overview.mkv
[b47cf50ef31da8c]
|
73,962,106 |
FE08A12D |
|
04-data_science_and_machine_learning_marketplace.mkv
[f6aac2f99ad7d82f]
|
60,064,086 |
5DA91E6B |
|
05-dsand_ml_job_opportunities_.mkv
[f313419f55968c70]
|
32,365,569 |
8F257BDE |
|
06-data_science_job_roles.mkv
[c9429bd3d883de0d]
|
54,305,629 |
693B93FF |
|
07-getting_started_with_r.mkv
[84af004ed18fa80b]
|
107,813,596 |
5B153D76 |
|
08-r_basics.mkv
[87abece7460da080]
|
47,779,063 |
7AE09D3B |
|
09-r_files.mkv
[24cc67365989956a]
|
88,954,785 |
50557DB7 |
|
10-r_tidyverse.mkv
[ec4d4974352ffc37]
|
40,467,093 |
388C6677 |
|
11-r_studio.mkv
[508718fbc1e5022d]
|
51,804,813 |
BB274164 |
|
12-r_resources.mkv
[6b3428b1a3958371]
|
47,733,369 |
C430CC7C |
|
13-data_types_and_structures_section_intro.mkv
[ab59f3c80136d6bc]
|
257,669,779 |
9B019090 |
|
14-basic_types.mkv
[2f249f6e0ad55521]
|
44,758,081 |
650337D8 |
|
15-vectors_part_one.mkv
[9272ce53a315ed51]
|
105,768,558 |
1A4BB63B |
|
16-vectors_part_two.mkv
[64d1e6ef85cea902]
|
197,909,215 |
E752440E |
|
17-vectors_missing_values.mkv
[d5ba9ffa96f3a18a]
|
90,316,404 |
8295B5E7 |
|
18-vectors_coercion.mkv
[ffd05a398e9acfb5]
|
53,578,019 |
0E20B9F6 |
|
19-vectors_naming.mkv
[4b6d73ad28804689]
|
40,262,345 |
9BDB857B |
|
20-vectors_misc..mkv
[41dcea36f1ce888]
|
25,231,826 |
7C68B5D7 |
|
21-creating_matrices.mkv
[156fa0ee40134d14]
|
159,648,214 |
E0BC76DD |
|
22-working_with_lists.mkv
[5c47823389248fe0]
|
185,614,902 |
1B9B0B20 |
|
23-introduction_to_data_frames.mkv
[cb164cbd65044472]
|
180,512,294 |
8EC56785 |
|
24-creating_data_frames.mkv
[b35ce93649a15a78]
|
153,890,169 |
D90E248D |
|
25-data_frames_helper_functions.mkv
[8cac8c7df3d4e9b]
|
258,238,317 |
AE16DB5D |
|
26-data_frames-tibbles.mkv
[48c6e84bfcafc3bb]
|
380,719,056 |
04817D22 |
|
27-intermediate_r_section_intro.mkv
[2aa9554b0b89d60f]
|
455,701,386 |
57F0EDFF |
|
28-relational_operators.mkv
[5180502224cc16d7]
|
86,797,112 |
26680F23 |
|
29-logical_operators.mkv
[665654de190ee0e1]
|
57,444,592 |
0647314D |
|
30-conditional_statements.mkv
[97035634ddc4e588]
|
77,745,035 |
7C41F599 |
|
31-loops.mkv
[d3de62a51f079f8c]
|
39,598,560 |
EDF4A0C3 |
|
32-functions.mkv
[8b83104d9a47af2]
|
105,545,957 |
2AB0CDCF |
|
33-packages.mkv
[e1c3cbdd29dd98bb]
|
101,372,153 |
6DD3D1FC |
|
34-factors.mkv
[35ecc98f81d04156]
|
209,356,013 |
33C70289 |
|
35-dates_and_times.mkv
[1386a89aef106613]
|
227,839,613 |
B5AD101E |
|
36-functional_programming.mkv
[5206f91185d05497]
|
177,323,796 |
12C9F866 |
|
37-data_importexport.mkv
[100ce08ab0bb3305]
|
172,483,292 |
40CF6737 |
|
38-databases.mkv
[daa937ba54dee069]
|
270,178,378 |
E26A18C9 |
|
39-data_manipulation_in_r_section_intro.mkv
[6ca148f9d9450a80]
|
350,517,260 |
8B6E8855 |
|
40-tidy_data.mkv
[1483968782bf79b1]
|
71,318,439 |
CD1289A6 |
|
41-the_pipe_operator.mkv
[58018f37ed784cda]
|
46,797,587 |
BF1C6E69 |
|
42-the_filter_verb.mkv
[da9d01e7b82558e3]
|
197,558,169 |
B235BDA9 |
|
43-the_select_verb.mkv
[baff7c24b3307040]
|
223,965,247 |
5104180F |
|
44-the_mutate_verb.mkv
[67bc8e09e1ff1a7a]
|
315,834,501 |
532EB791 |
|
45-the_arrange_verb.mkv
[100d718ee5c3834e]
|
83,488,118 |
7468518A |
|
46-the_summarize_verb.mkv
[3530c7467d8dac43]
|
185,348,807 |
C754CB98 |
|
47-data_pivoting.mkv
[a1c09f55cfa89e03]
|
382,794,607 |
3902C171 |
|
48-string_manipulation.mkv
[3ebcb3d169a5e14c]
|
160,198,034 |
FAA7EB3E |
|
49-web_scraping.mkv
[2f294b6c6398d432]
|
408,597,982 |
83ECCD50 |
|
50-json_parsing.mkv
[b30aeeba858d880b]
|
108,954,831 |
7ECF5776 |
|
51-data_visualization_in_r_intro.mkv
[3500ce0d7f6daf38]
|
57,615,722 |
73C7B727 |
|
52-aesthetics_mappings.mkv
[2c429adc76a6f08d]
|
230,762,678 |
87085E45 |
|
53-single_variable_plots.mkv
[e65997391691f3f9]
|
358,476,994 |
65A57F13 |
|
54-two-variable_plots.mkv
[e3949785c255900a]
|
178,881,763 |
A285DE52 |
|
55-facets_layering_and_coordinate_systems.mkv
[3aa5dca78892fed1]
|
187,656,562 |
B02F6992 |
|
56-styling_and_saving.mkv
[4a0673ec0c6b51a8]
|
91,424,442 |
1D4688B0 |
|
57-intro_to_r_markdown.mkv
[8463645571485289]
|
251,079,851 |
71B04864 |
|
58-intro_to_r_shiny.mkv
[9822e1946128097e]
|
243,832,173 |
5ABEF940 |
|
59-a_basic_webapp.mkv
[be940e1092dadb26]
|
138,470,887 |
5C1B9C0D |
|
60-other_webapp_examples.mkv
[e608e517b77bf4d9]
|
188,459,622 |
CD99370B |
|
61-intro_to_machine_learning___part_1.mkv
[190e80eaa97b16ec]
|
71,746,005 |
A2F65FA9 |
|
62-intro_to_machine_learning___part_2.mkv
[2fddae34ea1f326e]
|
468,610,868 |
512E73F4 |
|
63-data_preprocessing_intro.mkv
[2525dcf1e96c4c2]
|
230,006,566 |
874FBF01 |
|
64-data_preprocessing.mkv
[aab4a3ec02a6e92e]
|
481,555,723 |
D2A6B1CE |
|
65-linear_regression_a_simple_model_intro.mkv
[3ee9f4787ab6fd28]
|
258,259,600 |
45270ECF |
|
66-linear_regression_a_simple_model.mkv
[37c44aa761caedd9]
|
585,463,568 |
8E1FACAC |
|
67-exploratory_data_analysis_intro.mkv
[37fa69e031c18d5a]
|
230,312,771 |
A32DA098 |
|
68-hands-on_exploratory_data_analysis.mkv
[6b597690813a39d7]
|
636,390,224 |
CD7C77EE |
|
69-linear_regression_a_real_model_intro.mkv
[b771cebcd51183f]
|
113,427,946 |
971DD8B7 |
|
70-linear_regression_a_real_model.mkv
[319afd639a1b4496]
|
282,677,130 |
D1DC4799 |
|
71-logistic_regression_intro.mkv
[25e09ebd1f44797e]
|
149,395,321 |
ADF28C58 |
|
72-logistic_regression_in_r.mkv
[3c18116483136527]
|
195,448,750 |
C39DD265 |
|
73-starting_a_data_science_career.mkv
[49b1ce456a8439d6]
|
29,693,581 |
7C428D87 |
|
74-creating_a_data_science_resume.mkv
[dac41c19e4c9e32e]
|
48,981,136 |
248FDF16 |
|
75-getting_started_with_freelancing.mkv
[12a9c9712d71a095]
|
59,306,003 |
5526791B |
|
| Total size: |
13,187,188,740 |
|
|
