Introduction to Preprocessing
Understand the importance of preprocessing and get an overview of the main preprocessing methods.
In the context of ML, preprocessing refers to the essential steps taken to prepare raw data for analysis and model training. It involves transforming and manipulating the data to address common issues and make it suitable for ML algorithms. The importance of preprocessing cannot be overstated, as it significantly impacts the quality, reliability, and effectiveness of ML models.
Common preprocessing steps
Let’s take a look at each of the steps of preprocessing.
Feature extraction
A crucial step in preprocessing is