- Machine Learning Tutorial
- Machine Learning - Home
- Machine Learning - Introduction
- What Today’s AI Can Do?
- Machine Learning - Traditional AI
- What is Machine Learning?
- Machine Learning - Categories
- Machine Learning - Supervised
- Machine Learning - Scikit-learn Algorithm
- Machine Learning - Unsupervised
- Artificial Neural Networks
- Machine Learning - Deep Learning
- Machine Learning - Skills
- Machine Learning - Implementing
- Machine Learning - Conclusion
- Machine Learning Useful Resources
- Machine Learning - Quick Guide
- Machine Learning - Useful Resources
- Machine Learning - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Machine Learning - Scikit-learn Algorithm
Fortunately, most of the time you do not have to code the algorithms mentioned in the previous lesson. There are many standard libraries which provide the ready-to-use implementation of these algorithms. One such toolkit that is popularly used is scikit-learn. The figure below illustrates the kind of algorithms which are available for your use in this library.
Source: https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
The use of these algorithms is trivial and since these are well and field tested, you can safely use them in your AI applications. Most of these libraries are free to use even for commercial purposes.
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