Machine Learning
Computer ScienceChapter 1 — Introduction to Machine Learning
Lesson 1.1 : What is Machine Learning?
Reading & Interactive Lesson
What is Machine Learning?
Reading Material & Notes
What is Machine Learning?
Machine Learning (ML) is a branch of Artificial Intelligence that enables computers to learn patterns from data and make predictions or decisions without being explicitly programmed for every situation.
Basic Idea
Instead of writing rules for every possible situation, a machine learning system learns patterns from examples.
Examples
- Email spam detection
- Product recommendation
- House price prediction
- Image classification
- Customer churn prediction
Simple Workflow
Data
↓
Training
↓
Machine Learning Model
↓
PredictionKey Points
- ML learns from data.
- It can be used for prediction and classification.
- Good quality data is important for building useful models.
Course Curriculum
10 Chapters • 50 Lessons
Chapter 1 — Introduction to Machine Learning
5 Lessons
Chapter 2 — Types of Machine Learning
5 Lessons
Chapter 3 — Python for Machine Learning
5 Lessons
Chapter 4 — Data Preprocessing
5 Lessons
Chapter 5 — Regression Algorithms
5 Lessons
Chapter 6 — Classification Algorithms
5 Lessons
Chapter 7 — Clustering Algorithms
5 Lessons
Chapter 8 — Model Evaluation
5 Lessons
Chapter 9 — Feature Engineering and Model Improvement
5 Lessons
Chapter 10 — Machine Learning Projects
5 Lessons