Data Integration in Machine Learning, Concatenation, Merging, Joining Datasets.

This video explains, Data Integration in Machine Learning.

This video answers the top questions about:

- How to concatenate data frames.
- How to merge data frames.
- How to join data frames.

Data Integration purpose is:  To combine data from multiple sources into a single coherent dataset. Combining two data frames in Python can be done in several ways using the pandas library, depending on the desired operation.

Chapters:
00:00 Introduction: Data Integration in Machine Learning.
00:17 Data Integration steps.
00:49 Concatenate data frames vertically.
02:08 Concatenate data frames horizontally.
02:28 Merging data frames.
02:59 Merging data frames with Inner Join.
03:30 Merging data frames with Outer Join.
04:02 Joining data frames.
05:27 Summary.

==================================

🔥Python Tutorial for Programmers: Python tutorials
🔥Python Data Type Tutorial for Programmers: Python Data Types
🔥Python Interview Questions: Python interview questions

==================================
https://programlover.com/machine-lear...
Instagram:- Instagram: programlover27
Linkedin:- www.linkedin.com/in/program-lover
==================================
#datascience , #machinelearning , #datapreprocessing , #programlover , #datacleaning

• #
• #programlover