Description
Competitive Data Science: How to Win Kaggle Competitions
Kaggle isn’t just a leaderboard—it’s a **proving ground for real-world ML skills**. This course, created by top-10 Kaggle competitors, teaches you the **exact strategies** used to win: advanced feature engineering, stacking, leak detection, and hyperparameter tuning that actually works.
What You’ll Master
- Mean encoding & target leakage prevention
- Advanced cross-validation—time-series, grouped, and adversarial validation
- Ensembling—stacking, blending, and model averaging
- Hyperparameter tuning—Bayesian optimization, Hyperopt, Optuna
- Kaggle workflow—from EDA to submission
Real Competitions Covered
- Home Credit Default Risk
- Porto Seguro’s Safe Driver Prediction
- Santander Customer Transaction Prediction
Who Should Take This?
- Aspiring Kaggle competitors
- Data scientists preparing for ML interviews
- Engineers optimizing real-world ranking and recommendation systems
- Students building competition-grade portfolios
Your Competitive Edge Starts Here
This course doesn’t just teach ML—it teaches **how to win with it**.
Ready to climb the leaderboard? Enroll now.
