Machine Learning for Absolute Beginners Level 2
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4:00:09
21 View
01 welcome.mp4
02:19
02 anaconda installation.mp4
04:22
03 jupyterlab overview.mp4
03:52
04 working with a jupyter notebook.mp4
14:16
05 python fundamentals for data science overview.mp4
02:52
06 variables and data types.mp4
07:22
07 strings.mp4
07:44
08 lists.mp4
09:44
09 if and for loop statements.mp4
07:08
10 functions.mp4
07:59
11 dictionaries.mp4
11:01
12 classes.mp4
07:28
13 importing modules.mp4
07:34
14 libraries for data science projects.mp4
07:03
15 exercise 1 python fundamentals.mp4
00:41
16 introduction to the pandas library overview.mp4
02:59
17 series data structure.mp4
12:41
18 dataframe data structure.mp4
04:52
19 data selection in a dataframe.mp4
14:55
20 exercise 2 pandas series and dataframe.mp4
00:41
21 loading data into a dataframe overview.mp4
01:14
22 kaggle and the titanic dataset.mp4
05:48
23 loading a tabular data file.mp4
06:35
24 adjusting the loading parameters.mp4
13:06
25 preview the dataframe.mp4
08:14
26 using summary statistics.mp4
04:48
27 methods chaining.mp4
05:17
28 sorting and ranking.mp4
03:13
29 filtering.mp4
04:53
30 exercise 3 data loading and analysis.mp4
00:41
31 grouping and aggregating.mp4
04:52
32 data cleaning and transformation overview.mp4
02:07
33 removing columns or rows.mp4
04:17
34 removing duplicate rows.mp4
08:37
35 renaming column labels.mp4
03:32
36 dropping missing values.mp4
07:29
37 filling in missing values.mp4
03:32
38 creating dummy variables.mp4
08:16
39 exporting pandas dataframes.mp4
02:39
40 exercise 4 data cleaning and transformation.mp4
00:41
41 course summary let s recap.mp4
02:45
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- language english
- Training sessions 41
- duration 4:00:09
- English subtitles has
- Release Date 2023/10/07
