The Complete Library — Core

📚 The Complete Library — Core
Six production-minded ML books. One coherent toolkit.

This bundle includes all six Core-edition titles from valeman.gumroad.com, covering modern forecasting, evaluation, uncertainty quantification, and high-performance tabular modeling.

Designed for practitioners who want an end-to-end, defensible ML stack — not disconnected techniques.

📦 What’s Included (6 Core Books)

• Mastering Modern Time Series Forecasting
  Foundations, validation, classical models, ML, deep learning, and transformers.
• Mastering Advanced Time Series Forecasting
  Probabilistic methods, hierarchical forecasting, and foundation-model approaches.
• Mastering Forecasting Metrics & Accuracy
  Forecast evaluation done correctly: metrics, bias, error distributions, and business alignment.
• Probabilistic Forecasting with Conformal Prediction in Python
  Practical prediction intervals and risk-aware forecasting workflows.
• Applied Conformal Prediction
  Reliable uncertainty quantification for regression, classification, and time series.
• Mastering CatBoost
  Production-grade tabular modeling with strong baselines, tuning, and interpretability.

🎯 Why This Bundle

• End-to-end forecasting
  Classical methods, ML, deep learning, hierarchies, and exogenous drivers — in one coherent system.
• Evaluation that actually generalizes
  Leakage-safe backtesting, proper splits, and metrics that reflect real decisions.
• Uncertainty you can defend
  Conformal prediction for calibrated intervals and stakeholder-ready explanations.
• Production-minded throughout
  Data hygiene, robustness, and patterns that scale beyond notebooks.
• Strong tabular baselines
  CatBoost workflows that are fast, interpretable, and reliable in production.

✅ What You’ll Be Able to Do

• Design leakage-safe forecasting experiments
• Choose the right metric for the objective
• Build forecasting pipelines that don’t collapse in production
• Quantify and communicate uncertainty clearly
• Ship strong tabular models quickly and confidently

👥 Who This Is For

• Data scientists & ML engineers moving from notebooks to production
• Analytics / BI professionals leveling up to forecasting and uncertainty
• Tech leads, founders, and consultants needing a pragmatic, soup-to-nuts toolkit

📄 Format

• Core-edition eBooks (PDF) across all six titles
• Code snippets and examples referenced in-book (where applicable)
• Practical, recipe-style explanations designed for fast application

⚡ One purchase. Six books. One complete applied ML library.

If you want a single, consistent foundation for forecasting, uncertainty, and tabular ML — this Core Library bundle is the most efficient way to get there.

👉 Get the Complete Library — Core and build systems that actually hold up.