Welcome to the Machine Learning Algorithms documentation! 🌟 Here, you'll find a comprehensive guide to various algorithms used in machine learning, categorized for easy understanding.
Common Algorithm Categories
Supervised Learning 📈
- Linear Regression
- Decision Trees
- Support Vector Machines (SVM)
- Neural Networks
Unsupervised Learning 🔍
- K-Means Clustering
- Principal Component Analysis (PCA)
- Association Rules
- Dimensionality Reduction
Reinforcement Learning 🧠
- Q-Learning
- Deep Q-Networks (DQN)
- Policy Gradients
Practical Applications
- Classification 📊
- Spam detection
- Image recognition
- Regression 📈
- Predicting house prices
- Time series forecasting
- Clustering 🧩
- Customer segmentation
- Anomaly detection
Learning Resources
For deeper insights, check out our Machine Learning Fundamentals guide. 📘
Explore hands-on tutorials for Popular Algorithms here. ⚙️