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on
1
Intro
2
Survey
3
Agenda
4
Types of Data Science
5
Code Editor
6
Creating a Class
7
Repr Representation
8
Attribute Representation
9
Packages
10
Defining init
11
Representation
12
Understanding Python
13
Add Operator
14
Tools for Data Scientists
15
Troubleshooting
16
Example
17
Solution
Description:
Explore a comprehensive data science workshop focused on building tools for the HR industry in this full HD recording. Dive into various aspects of data science, including types of data science, code editors, class creation, Python representation, packages, and tools for data scientists. Learn about troubleshooting techniques and work through practical examples with provided solutions. Access additional resources, including GitHub code for EmailNetwork and supplementary materials, to enhance your learning experience. Gain valuable insights into the application of data science in HR through this in-depth, 3-hour session led by Samuel Chan.

Building Tools for HR Industry - Data Science Workshop

Samuel Chan
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