🚀 Pro Edition → Book + Bonus Pack "Mastering CatBoost: The Hidden Gem of Tabular AI "
🔥 Pro Edition — Mastering CatBoost: The Hidden Gem of Tabular AI(Early Access)
Book + Professional Bonus Pack
The Pro Edition is the professional upgrade to Mastering CatBoost — designed for practitioners who want more than theory: reusable workflows, real case studies, and production-grade tooling.
This is the fastest way to go from knowing CatBoost to using it effectively in real systems.
By Valeriy Manokhin, PhD, MBA, CQF
“CatBoost is not just underrated — it’s objectively better.”
This book shows why, with the science, benchmarks, and code to prove it.
🚀 What the Pro Edition Includes
Everything in the core book, plus:
- ✅ Premium templates — plug-and-play CatBoost workflows
- ✅ Extended case studies — deep dives across real industries
- ✅ Cheat sheets & flashcards — fast reference for tuning and diagnostics
- ✅ Behind-the-scenes notebooks — annotated exploratory pipelines
- ✅ Model selection toolkit — Python notebooks to benchmark and compare models
- ✅ Access to live Q&A / AMA sessions (when scheduled)
📈 Built for professionals and teams who want to build faster, tune smarter, and deploy with confidence.
💸 Pricing
Pro Edition (Early Access): $60 (USD)
- Fixed price (no PWYW)
- Includes lifetime updates
- Price will increase as additional tooling, notebooks, and case studies are added
If you find value in the work — or want to support continued development — thank you ❤️
🧠 Why CatBoost?
There is strong scientific and empirical evidence that CatBoost consistently outperforms XGBoost and LightGBM on real-world tabular data — often by 20%+, as shown in large-scale benchmarks such as TabArena.
CatBoost is:
- faster at inference,
- easier to tune,
- and designed from the ground up for categorical features — without fragile preprocessing hacks.
Despite this, it remains one of the most underused tools in machine learning.
This book fixes that.
🧪 Backed by research, benchmarks, and production experience
📈 Practical, readable, hands-on for working data scientists
🔬 Connected to the open-source ecosystem (including Awesome CatBoost)
🔍 What You’ll Learn
- Core architecture — how CatBoost works under the hood
- End-to-end tabular ML pipelines
- Proper categorical encoding and missing-data handling
- Built-in overfitting detection and safeguards
- Evaluation strategies and cross-validation the CatBoost way
- Interpretability: SHAP, feature importance, monotonic constraints
- Bonus: time series with CatBoost, plus quantile & uncertainty modeling
📘 Scope & Depth — More Than “Just Boosting”
Mastering CatBoost covers:
- Classification, regression, ranking, time series, and quantile models
- Deep treatment of categorical features (CatBoost’s key advantage)
- Native overfitting detection, monotonic constraints, and interpretability tools
- Deployment-ready workflows tuned for real tabular problems
🏗️ Under-the-Hood & Scientific Advantages
Many resources stop at tuning tips.
This book explains:
- ordered boosting, symmetric trees, and smoothed target statistics
- why CatBoost avoids categorical leakage by design
- why benchmarks repeatedly show CatBoost outperforming alternatives
- modern capabilities: GPU training, quantization, ONNX export
👨💻 Who the Pro Edition Is For
- ML engineers working on structured/tabular data
- Data scientists tired of brittle pipelines and endless tuning
- Researchers who’ve hit limits with XGBoost / sklearn
- Practitioners who want faster iteration with fewer bugs
If you value robustness, speed, and real performance, the Pro Edition is for you.
📦 What You Get (Summary)
- Instant access to the full book
- All future updates (chapters + tooling)
- Pro-only notebooks, templates, and case studies
- Private Discord access and early bonuses
⚡ Ready to master the strongest tabular model in ML?
CatBoost isn’t just another gradient booster.
It’s one of the most underappreciated breakthroughs in machine learning.
👉 Upgrade to the Pro Edition and start building better tabular models today.
🔥 Pro Edition: "Mastering CatBoost: The Hidden Gem of Tabular AI" (Early Access)