Artículo: AMZ-B0GDX85XF3

Mastering Jupyter Notebook with Python: Practical Techniques for Data Analysis, Machine Learning, Visualization, and Computational Research

Disponibilidad
En stock

Peso con empaque
0.48 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Sobre este producto

Structure notebooks for real projects, separating exploration from reporting while keeping momentum.
Control execution order, hidden state, and environments so results remain stable.
Build clean data workflows, perform rigorous EDA, and create visuals that answer real questions.
Run machine learning experiments with baselines, pipelines, tuning, metrics tables, and tracking.
Collaborate with Git using notebook-aware diffs and merges that reviewers can actually read.
Export notebooks into scripts, APIs, scheduled jobs, and CI/CD pipelines with confidence.
Apply ready-to-use templates, debugging checklists, visualization recipes, and ML patterns that work under pressure.

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