What is machine-learning in Python?
Machine learning models, including support vector machines (SVMs) and support vector regression (SVRs), are supervised learning techniques that analyze data and identify patterns. These models are widely employed for both classification and regression analysis tasks. They utilize mathematical optimization methods to construct hyperplanes or regression functions that best fit the underlying data, enabling accurate prediction and inference. By leveraging these advanced algorithms, users can gain valuable insights and make informed decisions based on complex datasets
Highlights
- Classification and regression analysis capabilities
- Utilization of mathematical optimization techniques to construct hyperplanes and regression functions
- Ability to identify patterns and make accurate predictions from complex datasets
- Versatile applications across various domains and industries