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: https://www.youtube.com/playlist?list=PLM1rOqKFsPJJtiZhVZOOx9ZYVbeH7RuE- 🔥Python Data Type Tutorial for Programmers: https://www.youtube.com/playlist?list=PLM1rOqKFsPJIlJnVlfMQLFpGk1yj_300l 🔥Python Interview Questions: https://www.youtube.com/playlist?list=PLM1rOqKFsPJJr3wsCqkhrvUG_QszNqFbF ================================== https://programlover.com/machine-learning/preprocessing/data-integration-in-machine-learning Instagram:- https://www.instagram.com/programlover27/ Linkedin:- www.linkedin.com/in/program-lover ================================== #datascience , #machinelearning , #datapreprocessing , #programlover , #datacleaning