Machine Learning with Python
Why Machine Learning using Python ?
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. In this article, we’ll see basics of Machine Learning, and implementation of a simple machine learning algorithm using python.
Python community has developed many modules to help programmers implement machine learning.
Python library that implements a range of machine learning, pre-processing, cross-validation and visualization algorithms using a unified interface.
Important features of scikit-learn:
- Simple and efficient tools for data mining and data analysis. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means, etc.
- Accessible to everybody and reusable in various contexts.
- Built on the top of NumPy, SciPy, and matplotlib.
- Open source, commercially usable – BSD license.
