Introduction to Machine Learning
Key Features
- Bite-sized lessons for better understanding
- No prior coding or math expertise needed
- Build your first ML models with real-world examples
- Showcase your ML skills with an industry-recognized certificate
About
Discover the fascinating world of Machine Learning (ML) in just 30 days! This beginner-friendly course will demystify ML concepts, teach you how machines learn from data, and guide you through building practical ML models.
Modules
- Day 1: What is Machine Learning?
- Day 2: Types of Machine Learning
- Day 3: The ML Process Pipeline
- Day 4: Key ML Concepts
- Day 5: Tools for ML
- Day 6: Quiz and Recap
- Day 7: Mini Project 1
- Day 8: Data in Machine Learning
- Day 9: Types of Data
- Day 10: Data Preprocessing
- Day 11: Exploratory Data Analysis (EDA)
- Day 12: Hands-On: Basic Data Exploration
- Day 13: Quiz and Recap
- Day 14: Mini Project 2
- Day 15: Supervised Learning Basics
- Day 16: Training Your First ML Model
- Day 17: Model Evaluation Metrics
- Day 18: Overfitting and Underfitting
- Day 19: Unsupervised Learning Basics
- Day 20: Quiz and Recap
- Day 21: Mini Project 3
- Day 22: Introduction to Neural Networks
- Day 23: Real-World ML Applications
- Day 24: Tools for Coding ML Models
- Day 25: Group Project Kickoff
- Day 26: Implementing the Project
- Day 27: Finalizing and Presenting the Project
- Day 28: Course Review and Final Quiz
- Day 29: Certification and Portfolio Tips
- Day 30: Career Guidance Session