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Book synopsis

Applied Machine Learning Starter is a 10-week, hands-on introduction for beginners. You'll move from core concepts to a complete project, learning by doing with Python and key libraries. Each week focuses on a practical skill: setting up tools, building models (linear/logistic regression, decision trees), evaluating performance, and exploring clustering, dimensionality reduction, and neural networks. The structured approach balances theory with application, culminating in an end-to-end project that integrates all concepts. Designed for clarity and real-world relevance, this guide equips you with the foundational skills and confidence to start solving problems with machine learning.

Book details

• Full title: Applied Machine Learning
• Author: J. Mercy Rosary, Amala Deepa, R. Leelavathi
• Language: English
• Binding: Paperback
• Number of pages: 132
• EAN: 9786207452972
• ISBN: 6207452976
• ID: 51442172
• Publisher: KS OmniScriptum Publishing
• Weight: 188 g
• Dimensions: 229 × 152 × 8 mm
• Date of publishing: 13. February 2026

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