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Machine Learning with Python: From Basics to Capstone

Machine Learning with Python: From Basics to Capstone

Curriculum

12 Sections
49 Lessons
10 Weeks

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Module 1: Introduction to Machine Learning
Give students a clear foundation in what Machine Learning is, how it differs from related fields, and where it’s applied in real life.
6
Module 2: Python Essentials for ML
5
Module 3: Data Wrangling & Visualization, starting with:
5
Module 4: Data Preprocessing
5
Module 5: Regression Algorithms!
This module introduces the foundational concept of regression in machine learning — perfect for prediction tasks like house prices, salaries, etc.
5
Module 6: Classification Algorithms
5
Module 7: Decision Trees
6
Module 8: Model Evaluation & Tuning
5
Module 9: Unsupervised Learning
5
Module 10: Dimensionality Reduction
5
Module 11: Capstone Project Preparation
5
Module 12: Capstone Project Execution
5

AI vs ML vs DL – What’s the Difference?

🧠 Lesson 3: AI vs ML vs DL – What’s the Difference?

Table of Contents

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🧠 Lesson 3: AI vs ML vs DL – What’s the Difference?
- 🎯 AI → ML → DL (Think of it like a Russian Doll)

AI, ML, and DL are often used interchangeably, but they are **not the same**. In this lesson, you’ll learn how they relate, how they differ, and where each one is applied in the real world.

🎯 AI → ML → DL (Think of it like a Russian Doll)

Artificial Intelligence (AI): The broadest concept – making machines behave intelligently.
Machine Learning (ML): A subset of AI that enables machines to learn from data.
Deep Learning (DL): A subset of ML that uses neural networks with multiple layers.

🤖 Artificial Intelligence

Broad goal of making machines smart.
Examples: Chatbots, speech assistants, smart thermostats.

📊 Machine Learning

Learning patterns from data to make predictions.
Examples: Email spam detection, loan approval systems.

🧠 Deep Learning

ML using neural networks (multi-layered).
Examples: Face recognition, self-driving car vision.

🧠 Summary

AI is the goal, ML is the method, and DL is a powerful tool inside ML.
All Deep Learning is Machine Learning, and all Machine Learning is part of AI.

📝 Self-Check: Can You Answer?

What is the main difference between AI and ML?
Is all Machine Learning also Deep Learning?
Give one real-life example of Deep Learning.

👉 Up next: Understand the **Machine Learning Lifecycle** — how an ML project goes from data to deployment.

Quiz Introduction to Machine Learning & Its Types

Machine Learning Lifecycle – From Data to Deployment