About Course
Learn how machine learning models are built, trained, tested and evaluated using real data. This practical course introduces the complete machine learning workflow and helps students develop data-driven prediction and classification systems.
Course Content
Module 01 — Machine Learning Foundations
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Introduction to Machine Learning
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AI vs Machine Learning
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How Machine Learning Works
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Types of Machine Learning
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Machine Learning Workflow
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Real-World ML Applications
Module 02 — Python for Machine Learning
Module 03 — Understanding Datasets
Module 04 — Data Cleaning & Preparation
Module 05 — Training & Testing Data
Module 06 — Regression
Module 07 — Classification
Module 08 — Unsupervised Learning
Module 09 — Improving Machine Learning Models
Module 10 — Practical Machine Learning Projects
Module 11 — Final Machine Learning Project
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