MACHINE LEARNING

Data Preprocessing

Transform raw, messy data into structured formats optimized for machine learning algorithms.

~25 hours

Learning Objectives

ImputationFeature ScalingEncoding Categorical VariablesFeature Engineering

Process a dataset containing mixed data types, scale numerical features, and encode categorical variables using Scikit-Learn.

📖 Learn by Reading

Feature Engineering for Machine Learning

Alice Zheng, Amanda Casari

Provides deep insights into transforming raw data into effective features for ML models.

🎥 Learn by Watching

Data Preprocessing in Machine Learning

Krish Naik • YouTube • 0:45:00

Preprocessing techniques for AI models.