Understanding Preprocessing Part2
Welcome to our comprehensive guide on Preprocessing Part2. This video shows Label Encoding,feature Scaling and Split data set into train and testing.
Key Takeaways about Preprocessing Part2
- In this Lecture& Tutorial I will explain about imputation of missing values and Categorical variables.
- In the previous video, we covered the basics of Data Cleaning and how to handle Non-Numerical data. In this video, we dive ...
- In this video we will write code in python for the second step i.e., importing the dataset. GitHub link: ...
Detailed Analysis of Preprocessing Part2
Watch the rest of the series: Part 1 - Importing Data: Data normalization, min max normalization, z score normalization, decimal scaling. Video Description: Lecture 3 – Data Cleaning & Handling Missing Values Welcome back to our Machine Learning series!
In summary, understanding Preprocessing Part2 gives us a better perspective.
