📚 The Forecasting, CatBoost & Conformal Prediction Tetralogy

By Valery Manokhin, PhD, MBA, CQF

Four powerful books. One complete mastery collection.
This is the ultimate resource for data scientists, ML engineers, analysts, and researchers who want to master time series forecasting, uncertainty quantification, and advanced machine learning techniques — all in one discounted package.

What’s Inside

1️⃣ Mastering Modern Time Series Forecasting – Build accurate and scalable forecasts with state-of-the-art methods.
2️⃣ Mastering CatBoost for Advanced Machine Learning – Unlock the full power of gradient boosting for tabular data.
3️⃣ Advanced Conformal Prediction – Practical uncertainty quantification for real-world ML applications.
4️⃣ Probabilistic Forecasting with Conformal Prediction in Python (Early Release) – The complete guide to prediction intervals, risk measures, and trustworthy forecasts.

Why This Bundle?

• Save 30%+ compared to buying individually
• Lifetime updates for all books (including early-release content)
• Learn forecasting, CatBoost, and conformal prediction in depth
• Build end-to-end Python solutions ready for deployment
• Stay ahead in one of the fastest-growing areas of applied machine learning

Who This Is For

• Data Scientists who want to elevate their forecasting and ML skills
• Machine Learning Engineers looking to integrate uncertainty quantification
• Finance & Business Analysts needing reliable risk-aware predictions
• Researchers & Students wanting a complete, practical library

💡 Early-bird pricing is live — secure your bundle now before the price increases.