Machine Learning with Python: A Comprehensive Course
Welcome to the Machine Learning with Python course! This resource is designed to help you master the fundamentals of machine learning using Python programming. Whether you're a beginner or an experienced developer, this course provides hands-on projects and theoretical insights to build your skills.
📘 Course Outline
Introduction to Machine Learning
- What is Machine Learning?
- Types of learning: Supervised, Unsupervised, Reinforcement
- Key concepts: Features, Labels, Training, Testing
Python for ML: Libraries & Tools
- NumPy for numerical computations
- Pandas for data manipulation
- Scikit-learn for implementing algorithms
- Matplotlib & Seaborn for data visualization
Core Algorithms
- Linear Regression 📈
- Decision Trees 🌳
- K-Means Clustering 🧩
- Random Forests 🌲
Practical Projects
- Predicting house prices 🏠
- Classifying emails as spam 📧
- Analyzing customer behavior 📊
Advanced Topics
- Hyperparameter tuning 🛠️
- Cross-validation ⚖️
- Model evaluation metrics 📊
🌐 Expand Your Knowledge
If you're interested in diving deeper into AI topics, check out our AI Courses Collection.
Let us know if you need further assistance! 😊