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πŸš€ Pro Edition β†’ Book + Bonus Pack "Probabilistic Forecasting with Conformal Prediction in Python" (Early Release Preorder)

$60+

πŸš€ Pro Edition – Book + Bonus Pack (Early Access)

Probabilistic Forecasting with Conformal Prediction in Python
(Early Release Preorder)
By Valery Manokhin, PhD, MBA, CQF

Master the hottest skill in forecasting β€” and get the full toolkit to implement it immediately.

The Pro Edition is the ultimate package for professionals and advanced learners who want more than just the theory. Along with the complete book (delivered chapter-by-chapter in early access), you get exclusive extras designed to make you an expert in probabilistic forecasting and conformal prediction β€” fast.


What’s Included in the Pro Edition

βœ… Full Digital Book – All chapters as and when they’re released (approx. 12 chapters, 200–300 pages).
βœ… Complete Jupyter Notebooks – End-to-end, production-ready Python code.
βœ… Extended Case Studies – Real-world forecasting projects in finance, business, and beyond.
βœ… Advanced Methods – Beyond the core concepts, dive into cutting-edge research applications.
βœ… Lifetime Updates – Get every new chapter and future edition, free.
βœ… Final Print-Ready PDF – Receive the polished, compiled book at completion.


Why the Pro Edition?

The Core Edition gives you the essentials.
The Pro Edition gives you the power to apply them in the real world β€” with full code, detailed walkthroughs, and professional-grade examples.

Whether you’re in data science, finance, operations, or research, you’ll gain the skills to:

  • Build trustworthy forecasting models with clear prediction intervals.
  • Quantify uncertainty in a way decision-makers understand.
  • Stay ahead in one of the fastest-growing areas of applied machine learning.

⚑ Early Release Preorder Special:

  • Get in at the lowest price β€” increases as chapters are and when they released.
  • New content delivered every month until complete.

πŸ“… Start today β€” own the complete Pro package and lead the next wave of intelligent forecasting.

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Size
4.22 MB
Length
24 pages
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