Udemy Data Science And Machine Learning With R A Complete Mas
Seeders : 3 Leechers : 0
| Torrent Hash : | C1D46638A24842C895914B9453ED8579B5874A49 |
| Torrent Added : | at March 7, 2025, 3:18 a.m. in Other |
| Torrent Size : | 2.0 GB |
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Udemy Data Science And Machine Learning With R A Complete Mas
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Udemy Data Science And Machine Learning With R A Complete Mas
Get Bonus Downloads Here.url -
1 - Data science and ml with r course overview.mp4 -
10 - R tidyverse.mp4 -
11 - R Studio.mp4 -
12 - R Resources.mp4 -
13 - Data types and structures section intro.mp4 -
14 - Basic types.mp4 -
15 - Vectors part one.mp4 -
16 - Vectors part two.mp4 -
17 - Vectors missing values.mp4 -
18 - Vectors coercion.mp4 -
19 - Vectors naming.mp4 -
2 - What is data science.mp4 -
20 - Vectors misc.mp4 -
21 - Creating matrices.mp4 -
22 - Working with lists.mp4 -
23 - Introduction to data frames.mp4 -
24 - Creating data frames.mp4 -
25 - Data frames helper functions.mp4 -
26 - Data frames tibbles.mp4 -
27 - Intermediate r section intro.mp4 -
28 - Relational operators.mp4 -
29 - Logical operators.mp4 -
3 - Machine learning overview.mp4 -
30 - Conditional statements.mp4 -
31 - Loops.mp4 -
32 - Functions.mp4 -
33 - Packages.mp4 -
34 - Factors.mp4 -
35 - Dates and times.mp4 -
36 - Functional programming.mp4 -
37 - Data importexport.mp4 -
38 - Databases.mp4 -
39 - Data manipulation in r section intro.mp4 -
4 - Data science and machine learning marketplace.mp4 -
40 - Tidy data.mp4 -
41 - The pipe operator.mp4 -
42 - The filter verb.mp4 -
43 - The select verb.mp4 -
44 - The mutate verb.mp4 -
45 - The arrange verb.mp4 -
46 - The summarize verb.mp4 -
47 - Data pivoting.mp4 -
48 - String manipulation.mp4 -
49 - Web scraping.mp4 -
5 - Dsand ml job opportunities.mp4 -
50 - Json parsing.mp4 -
51 - Data visualization in r intro.mp4 -
52 - Aesthetics mappings.mp4 -
53 - Single variable plots.mp4 -
54 - Two variable plots.mp4 -
55 - Fcets layering and coordinate systems.mp4 -
56 - Styling and saving.mp4 -
57 - Intro to r markdown.mp4 -
58 - Intro to r shiny.mp4 -
59 - A basic webapp.mp4 -
6 - Data science job roles.mp4 -
60 - Other webapp examples.mp4 -
61 - Intro to machine learning Part 1.mp4 -
62 - Intro to machine learning Part 2.mp4 -
63 - Data preprocessing Intro.mp4 -
64 - Data preprocessing.mp4 -
65 - Linear regression a simple model Intro.mp4 -
66 - Linear regression a simple model.mp4 -
67 - Exploratory data analysis intro.mp4 -
68 - Hands on exploratory data analysis.mp4 -
69 - Linear regression a real model intro.mp4 -
7 - Getting started with r.mp4 -
70 - Llinear regression a real model.mp4 -
71 - Logistic regression intro.mp4 -
72 - Logistic regression in r.mp4 -
73 - Starting a data science career.mp4 -
74 - Creating a data science resume.mp4 -
75 - Getting started with freelancing.mp4 -
8 - R basics.mp4 -
9 - R files.mp4 -
Bonus Resources.txt -
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180 bytes
1 - Data science and ml with r course overview.mp4 -
12.0 MB
10 - R tidyverse.mp4 -
57.6 MB
11 - R Studio.mp4 -
19.7 MB
12 - R Resources.mp4 -
13.7 MB
13 - Data types and structures section intro.mp4 -
25.0 MB
14 - Basic types.mp4 -
18.1 MB
15 - Vectors part one.mp4 -
17.4 MB
16 - Vectors part two.mp4 -
14.5 MB
17 - Vectors missing values.mp4 -
18.1 MB
18 - Vectors coercion.mp4 -
10.2 MB
19 - Vectors naming.mp4 -
11.7 MB
2 - What is data science.mp4 -
83.0 MB
20 - Vectors misc.mp4 -
13.6 MB
21 - Creating matrices.mp4 -
10.7 MB
22 - Working with lists.mp4 -
20.0 MB
23 - Introduction to data frames.mp4 -
18.7 MB
24 - Creating data frames.mp4 -
32.4 MB
25 - Data frames helper functions.mp4 -
27.1 MB
26 - Data frames tibbles.mp4 -
19.7 MB
27 - Intermediate r section intro.mp4 -
44.4 MB
28 - Relational operators.mp4 -
23.3 MB
29 - Logical operators.mp4 -
22.6 MB
3 - Machine learning overview.mp4 -
38.9 MB
30 - Conditional statements.mp4 -
16.8 MB
31 - Loops.mp4 -
15.2 MB
32 - Functions.mp4 -
18.7 MB
33 - Packages.mp4 -
23.6 MB
34 - Factors.mp4 -
13.1 MB
35 - Dates and times.mp4 -
17.7 MB
36 - Functional programming.mp4 -
12.6 MB
37 - Data importexport.mp4 -
18.6 MB
38 - Databases.mp4 -
16.7 MB
39 - Data manipulation in r section intro.mp4 -
44.0 MB
4 - Data science and machine learning marketplace.mp4 -
17.5 MB
40 - Tidy data.mp4 -
52.7 MB
41 - The pipe operator.mp4 -
21.6 MB
42 - The filter verb.mp4 -
12.3 MB
43 - The select verb.mp4 -
13.3 MB
44 - The mutate verb.mp4 -
22.6 MB
45 - The arrange verb.mp4 -
30.2 MB
46 - The summarize verb.mp4 -
20.6 MB
47 - Data pivoting.mp4 -
20.4 MB
48 - String manipulation.mp4 -
33.4 MB
49 - Web scraping.mp4 -
12.3 MB
5 - Dsand ml job opportunities.mp4 -
12.3 MB
50 - Json parsing.mp4 -
70.6 MB
51 - Data visualization in r intro.mp4 -
43.9 MB
52 - Aesthetics mappings.mp4 -
19.8 MB
53 - Single variable plots.mp4 -
13.9 MB
54 - Two variable plots.mp4 -
19.2 MB
55 - Fcets layering and coordinate systems.mp4 -
29.7 MB
56 - Styling and saving.mp4 -
16.5 MB
57 - Intro to r markdown.mp4 -
20.0 MB
58 - Intro to r shiny.mp4 -
36.1 MB
59 - A basic webapp.mp4 -
15.7 MB
6 - Data science job roles.mp4 -
15.3 MB
60 - Other webapp examples.mp4 -
25.8 MB
61 - Intro to machine learning Part 1.mp4 -
43.8 MB
62 - Intro to machine learning Part 2.mp4 -
43.4 MB
63 - Data preprocessing Intro.mp4 -
44.3 MB
64 - Data preprocessing.mp4 -
69.7 MB
65 - Linear regression a simple model Intro.mp4 -
43.3 MB
66 - Linear regression a simple model.mp4 -
22.8 MB
67 - Exploratory data analysis intro.mp4 -
35.9 MB
68 - Hands on exploratory data analysis.mp4 -
62.5 MB
69 - Linear regression a real model intro.mp4 -
43.6 MB
7 - Getting started with r.mp4 -
68.4 MB
70 - Llinear regression a real model.mp4 -
18.3 MB
71 - Logistic regression intro.mp4 -
43.9 MB
72 - Logistic regression in r.mp4 -
24.6 MB
73 - Starting a data science career.mp4 -
10.7 MB
74 - Creating a data science resume.mp4 -
13.7 MB
75 - Getting started with freelancing.mp4 -
17.8 MB
8 - R basics.mp4 -
20.3 MB
9 - R files.mp4 -
19.2 MB
Bonus Resources.txt -
70 bytes
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