2026.03.20
Setting Up Your AI-Powered DevOps Workbench
Prepare your development environment for integrating AI into DevOps workflows. Learn to set up Python, virtual environments, essential AI/ML …
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2026.01.17
Chapter 4: Introduction to Classical Machine Learning
Learn the basics of classical machine learning with Python and scikit-learn, including regression, classification, and model evaluation.
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Chapter 11: Real-World Scenario: Hyperparameter Tuning with Trackio
Learn how to use Trackio for efficient hyperparameter tuning experiments in machine learning.
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Chapter 12: Building Your First Predictive Model: A Guided Project
Learn to build your first predictive model with Python and Scikit-learn, from data gathering to evaluation.
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Chapter 14: Project: Containerizing a Machine Learning Workflow
Learn to containerize a complete machine learning workflow on macOS using Apple's native container tools, from data preparation to model training and …
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Comprehensive SHAP Workflows for MLOps
Step-by-step tutorial: Comprehensive SHAP Workflows for MLOps. Readers will implement comprehensive SHAP explainability workflows, compare different …
ACCESS_FILE >>2025.08.22
Mastering Machine Learning Fundamentals: Scikit-learn for AI Foundations
A comprehensive guide to traditional Machine Learning concepts and practical application with Scikit-learn, from basic regression and classification …
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