Applied Machine Learning

Bys: Rosary, J. Mercy, Deepa, Amala, Leelavathi, R.

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.

• Format: Paperback
• Language: English
• ISBN: 6207452976
• ISBN13: 9786207452972
• Release Date: February 2026
• Publisher: LAP Lambert Academic Publishing
• Length: 132 Pages
• Weight: 0.41 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"