Data Preprocessing For Machine Learning (CodeSignal)
Learn essential data preprocessing skills in Python ? including handling missing values, encoding categorical data, scaling features, and preparing datasets for machine learning.
Learn essential data preprocessing skills in Python ? including handling missing values, encoding categorical data, scaling features, and preparing datasets for machine learning.
Data Preprocessing for Machine Learning is a practical online course from CodeSignal that teaches the key techniques needed to prepare real-world data for machine learning models. In this course, you’ll work with Python tools like Pandas and Scikit-learn to clean messy data, handle missing values, encode categorical features, scale numerical features, and split data into training and testing sets. With hands-on practice tasks, this course builds foundational data preparation skills that are essential before building predictive machine learning models.
Handle and impute missing values in datasets Encode categorical variables into numerical formats Scale and normalize numerical features
Machine Learning
Free
Not specified
Online (Global)
The form has been successfully submitted.