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Microfacturing Institutes @UC8wczT4VT_Gyjtk0w1e3Smg@youtube.com

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06:23
Toggle On/Off Days
03:24
Start the Sprinkler Automatically
02:24
Searches Video 4
02:19
Github Repositories
04:01
Creating Pull Requests
02:19
Introduction to Github
08:45
Push a commit
02:48
Install Jupyter Lab
02:44
Commit your Work using Drag and Drop
05:25
Add Sprinkler Status
03:25
Add a Start Button
01:50
Update your Theme
04:22
Create a Time Picker
06:38
Set up Automatic & Manual Mode
01:39
Debug your Time Picker
05:33
Module 8.4: Two-Variable Plotting
05:58
Module 8.2: Density Plotting
13:31
Module 8: Data Visualization - "A Picture is worth 1,000 Words"
05:34
Module 8.6: Violin Plots
08:05
Module 8.7: Regression Plotting & 3-Variable Plotting
05:15
Module 8.9: Left Join, Right Join, Outer Join
11:40
Module 8.5: Confidence Intervals
06:15
Module 8.1: Visualization with a single numerical variable
04:32
Module 8.8: Merging Datasets
04:37
Module 8.3: Visualization with a single categorical variable
06:06
Set Time Zone
04:02
Add a Clock
06:07
Module 7.9 The Apply Method
08:23
Module 7.8 Apply Multiple Functions (agg)
12:29
Module 7.7 Count, Size & Sum Aggregation
06:22
Module 7.6 Using groupby
03:23
Module 7.5 Data Aggregation
09:16
Module 7.4 Multi-Level Dummy Variables
04:20
Module 7.3 Dummy Variables
05:39
Module 7.2 Data Aggregation
04:23
Module 6 8 RegEx
10:43
Module 6 6 RegEx
04:09
Module 6 4 RegEx
14:52
Module 6 5 RegEx
03:21
Module 6 2 RegEx
06:20
Module 6 3 RegEx
12:09
Module 6 1 RegEx Intro
10:30
Module 5 7 slicing dicing 4
06:45
Module 5 3 slicing dicing 1
12:33
Module 5 10 its about time productivity
06:39
Module 5 4 slicing dicing 2 df from dictionaries
06:11
Module 5 8 sorting head tail
03:12
Module 5 2 index columns values
10:46
Module 5 6 revisiting loc iloc
15:11
Module 5 5 slicing dicing 3
15:28
Module 5 1 creating dataframes
10:01
Module 5 11 its about time projects
10:26
Module 5 9 descriptive predictive prescriptive