Principle of Data Science with R Hands-On Experience
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3:35:19
7 View
01-introduction.mp4
02:18
02-r installation.mp4
03:38
03-rstudio installation.mp4
02:57
04-introducin rstudio.mp4
03:32
05-objects.mp4
07:14
06-logical operators.mp4
06:27
07-lists.mp4
10:54
08-matrix.mp4
06:40
09-dataframes.mp4
08:50
10-reading and saving data frame.mp4
06:39
11-for loop.mp4
06:01
12-if else statements.mp4
06:00
13-functions (part1).mp4
05:10
14-function part2.mp4
08:51
15-detecting nas.mp4
05:21
16-tidy datasets.mp4
10:56
17-welcome to data wrangling.mp4
01:27
18-installing packages.mp4
05:17
19-data subsetting filter function.mp4
09:15
20-data subsetting arrange function.mp4
02:04
21-dplyr select and rename functions.mp4
04:02
22-dplyr summarize groub by mutate.mp4
05:51
23-statistical learning.mp4
05:43
24-why esimate f.mp4
09:26
25-installing packages for linearregression.mp4
00:49
26-simple linearregression.mp4
07:53
27-hypothesis testing.mp4
11:27
28-evaluating metrics for linear model.mp4
09:18
29-correlation plots.mp4
05:21
30-multicollinearity.mp4
02:38
31-trainandtest split.mp4
06:33
32-simple linear model.mp4
08:50
33-multiple linear regression.mp4
04:30
34-diagnostic plots.mp4
09:49
35-scatter plot.mp4
03:38
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- language english
- Training sessions 35
- duration 3:35:19
- Release Date 2024/03/07
