"Garbage in Garbage out" holds true for both machine learning and data mining, if you are trying to become a true master you can not ignore the first step. We will look into the big Data preprocessing steps Data Integration, Data Cleaning, Data Transformation, and Data Reduction. These steps again consist of many techniques like Feature Engineering and dealing with Missing Values and Noisy Data.
If you enjoyed this video, I would be excited to connect on Twitter or LinkedIn.
Twitter: / datawithsandro
LinkedIn: / sandro-luck-b9293a181
Medium: / datawithsandro
0:00 Intro
0:54 Data Integration
1:24 Data Cleaning
4:03 Data Transformation
6:20 Data Reduction