Machine Learning with Python
About Course
This beginner-to-advanced course teaches you how to build real-world machine learning models using Python. You’ll learn core ML concepts, work with Scikit-learn, preprocess data, train models, and optimize them for better accuracy. You’ll also explore ensemble methods, model evaluation, and deployment techniques.
No prior ML knowledge required — just basic Python and math skills.
Course Content
Introduction to Machine Learning
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Lesson 1: What is Machine Learning?
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Lesson 2: Types of Machine Learning
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Lesson 3: Applications of ML in Real World
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Lesson 4: Understanding Datasets
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Lesson 5: ML Workflow Overview
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Lesson 6: Tools & Libraries for ML
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Lesson 7: Challenges in Machine Learning
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Lesson 8: ML vs AI vs Deep Learning
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Lesson 9: Careers in ML
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Lesson 10: Setting Up Python Environment