Welcome to the ultimate hands-on course in data preprocessing for machine learning. Over 6 focused modules, youโll go from raw, messy data to production-ready features โ mastering every critical step along the way:
๐น Module 1: Diagnose & Clean โ Handle missing values, outliers, and inconsistent formats.
๐น Module 2: Encode Smartly โ Transform categories with Label, One-Hot, and Target Encoding.
๐น Module 3: Scale & Select โ Standardize features, fight dimensionality, extract signal.
๐น Module 4: Measure What Matters โ Go beyond accuracy: use Recall, F1, AUC-ROC for imbalanced data.
๐น Module 5: Validate to Generalize โ Detect and prevent overfitting with Cross-Validation.
๐น Module 6: Final Project โ Build a real Fraud Detection System from scratch, end-to-end.
Tools: Python, Pandas, Scikit-learn, Seaborn.
Prerequisites: Basic Python + Intro ML knowledge.
Stop feeding garbage to your models. Learn to preprocess like a pro โ because great models start with great data.