Here are some common machine learning use cases and their applications:
Classification
- Used for predicting categorical labels (e.g., spam detection, image recognition)
- 📌 Example: machine_learning_classification
Regression
- Predicts continuous numerical values (e.g., house price estimation, stock market forecasting)
- 📌 Example: machine_learning_regression
Clustering
- Groups unlabeled data based on similarity (e.g., customer segmentation, anomaly detection)
- 📌 Example: machine_learning_clustering
Reinforcement Learning
- Enables systems to learn optimal actions through trial and error (e.g., game AI, robotics)
- 📌 Example: reinforcement_learning_tutorial
For more practical examples, explore our machine learning projects section! 🚀