Data Transformation- Normalization, Encoding, Feature Scaling_training

Описание: Learn essential data transformation techniques for effective machine learning preprocessing. This video covers normalization, encoding, and feature scaling methods used to prepare datasets for analysis.
Introduction to data transformation in machine learning pipelines
Understanding normalization and its importance
Overview of encoding categorical variables
Types of encoding: one-hot, label, and ordinal encoding
Feature scaling methods and when to use them
Impact of scaling and encoding on model performance
Practical examples using Python libraries
Best practices for preprocessing data in real-world projects
#DataPreprocessing #MachineLearning #FeatureEngineering