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Data handling, visualization basics

Emdee Academy > Lessons > Data handling, visualization basics
Course Content
Module 1: Introduction to AI & ML
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What is AI, history, real-world examples
ML vs Deep Learning vs Data Science
Use-cases in industry
Module 2: Python for AI Basics
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Python syntax, data types, libraries (NumPy, Pandas)
Data handling, visualization basics
Module 3: Machine Learning Concepts
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Supervised vs Unsupervised learning
Regression, classification, clustering
Simple algorithms: Linear Regression, K-Means, Decision Trees
Module 4: Hands-On Projects
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Build a simple model (e.g., digit recognition, sentiment analysis)
Evaluate, interpret results, improve accuracy
Module 5: Ethics & Future of AI
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AI in society, ethics, job-impact
What next: Careers, deeper learning paths
Artificial Intelligence Basics (Students)
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