🚀 Pro Edition → Book + Bonus Pack "Mastering CatBoost: The Hidden Gem of Tabular AI " (Early Release Preorder)
This bundle contains...
🔥 Pro Edition: Mastering CatBoost — The Hidden Gem of Tabular AI(Early Access)
The elite version of the book — trusted by data science leaders in 100+ countries.
Unlock the premium toolkit behind one of the strongest models for real-world tabular data.
🚀 Pro Edition — Early Access (Available Now)
The Pro Edition includes everything in the standard edition plus premium, production-grade resources designed to help you build faster, tune smarter, and deploy with confidence.
✅ Premium templates
✅ Cheat sheets & flashcards
✅ Extended case studies
✅ Behind-the-scenes notebooks
✅ Model selection & benchmarking toolkits
✅ Access to live Q&A / AMA sessions with the author (when scheduled)
⚠️ Pro Edition pricing will increase substantially as the book approaches completion.
Early access locks in lifetime updates and all future bonus content.
By Valeriy Manokhin, PhD, MBA, CQF
“CatBoost is not just underrated — it’s objectively better.”
This book shows you why, with the science and the code to prove it.
🔓 What the Pro Edition Adds (Bonus Pack)
Includes everything in the book, plus:
- ✅ Premium Templates — plug-and-play workflows
- ✅ Extended Case Studies — deep analyses across major industries
- ✅ Cheat Sheets & Flashcards — quick-reference guides and best practices
- ✅ Behind-the-Scenes Notebooks — annotated walkthroughs and exploratory pipelines
- ✅ Model Selection Toolkit — Python notebooks to benchmark, optimise, and compare
📈 Ideal for professionals and teams who want to build and deploy faster — and sidestep the guesswork.
💸 Pricing
This is an early access product.
- The price will increase as content and bonus materials expand
- Early buyers receive lifetime updates at no additional cost
- If you find value in the work — or want to support the project — you’re welcome to contribute what it’s worth to you ❤️
🧠 Why CatBoost?
There is a preponderance of scientific evidence that CatBoost consistently and significantly outperforms XGBoost and LightGBM on real-world tabular data — often by 20%+, as reported in large-scale benchmarks such as TabArena.
CatBoost is:
- faster at inference,
- easier to tune,
- and built from the ground up for categorical features — without the usual preprocessing hacks.
Despite this, CatBoost 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
🔬 Linked to the open-source ecosystem (including Awesome CatBoost)
🔍 What You’ll Learn
- Core architecture — how CatBoost works under the hood
- Hands-on modeling — end-to-end tabular ML pipelines
- Categorical encoding — no more label/one-hot hacks
- Overfitting detection — built-in, automated safeguards
- Evaluation strategies — cross-validation the CatBoost way
- Interpretability — SHAP, feature importance, monotonic constraints
- Bonus: Time series with CatBoost + quantile & uncertainty modeling
📘 Scope & Depth — More Than Just Boosters
Mastering CatBoost covers:
- Not just classification, but regression, ranking, time series, and quantile/uncertainty models
- A deep dive into categorical feature handling (CatBoost’s core advantage)
- Native overfitting detection, monotonic constraints, and interpretability tools — tuned for tabular workflows
🏗️ Under-the-Hood Architecture & Scientific Advantages
Harrison’s book provides intuition and tuning advice, with code examples and deployment workflows.
Mastering CatBoost delves deeper into:
- Ordered boosting, symmetric trees, and smoothed target statistics — and why CatBoost handles categoricals without leakage
- Scientific benchmarks showing CatBoost outperforming XGBoost and LightGBM on real tabular datasets
- Newer capabilities such as GPU optimisation, quantisation, and ONNX export
🧩 Interpretability & Safeguards
- Native overfitting detection — eliminating guesswork
- Built-in feature importance, interactions, and partial dependence tools
- Monotonic constraints tuned specifically for CatBoost internals
🎯 The Verdict
Mastering CatBoost goes far beyond alternatives in:
- Technical depth (architecture + categorical handling)
- Applied scope (classification, regression, ranking, forecasting)
- Deployment readiness (quantisation, ONNX, real-world pipelines)
- Support materials (Awesome_CatBoost repo, notebooks, domain-specific chapters)
👨💻 Who Is This For?
- Machine learning engineers working on tabular datasets
- Data scientists tired of endless hyperparameter tuning
- Students or researchers who’ve hit limits with XGBoost / sklearn
- Practitioners who want to move fast from data to insight
If you like fast iteration, fewer bugs, and state-of-the-art tabular models, this book is for you.
📦 What You Get (Pro Edition)
📥 Instant access — start reading immediately
🔄 Lifetime updates — new chapters, fixes, and bonus content
💬 Private Discord access — additional materials, early bonuses, special discounts, live events
✍️ About the Author
Written by Valeriy Manokhin, PhD, MBA, CQF — a seasoned forecasting expert, data scientist, and machine learning researcher with publications in top academic journals.
Valeriy has advised startups and large enterprises, helping them build and rebuild forecasting systems at scale. He has led successful forecasting initiatives for global organisations — including winning competitive tenders against multinational companies, outperforming major consulting firms like BCG and specialised AI startups focused on forecasting. He has delivered production-grade solutions for industry leaders such as Stanley Black & Decker and GfK.
His methods have driven multimillion-dollar business impact, and his training programs have reached professionals in over 40 countries. His books are used in 100+ countries and have become #1-ranked titles across Machine Learning, Forecasting, and Time Series categories on major platforms.
📚 Also by the Author
Mastering Modern Time Series Forecasting
The book trusted by data science leaders in 100+ countries.
Learn more → Mastering Modern Time Series Forecasting
⚡ Ready to master the best tabular model in ML?
CatBoost isn’t just another gradient booster.
It’s one of the most underappreciated breakthroughs in machine learning — and you’re about to master it.
👉 Hit Buy Now and start building faster, better tabular models with less tuning.
The all-in-one guide to building fast, accurate, and production-ready tabular models with CatBoost—the most powerful yet underrated tool in machine learning. Learn how to solve classification, regression, ranking, and forecasting problems with minimal tuning and maximum interpretability. This book walks you through every step of the modeling workflow—from preprocessing to deployment—while explaining why CatBoost consistently beats XGBoost and LightGBM on real-world tabular data. With hands-on Python code, research-backed insights, and real use cases, this is your go-to resource for tabular machine learning—whether you're working with finance, healthcare, retail, energy, or any structured dataset.