Machine Learning for Bioinformatics with Python
Machine Learning
Bioinformatics
Omics Data Science
Overview
The “Machine Learning for Bioinformatics with Python” course is designed to provide participants with a solid foundation in applying machine learning techniques to solve complex problems in bioinformatics. Through hands-on exercises and practical examples, participants will learn how to leverage Python’s powerful libraries for machine learning to analyze biological data, make predictions, and extract meaningful insights. This course bridges the gap between bioinformatics and machine learning, enabling participants to develop skills at the intersection of these fields.
Learning Objectives
At the end of the tutorial, participants will be able to:
- Understand the Basics of Machine Learning in Bioinformatics
- Preprocess Biological Data for Machine Learning
- Explore Feature Selection and Dimensionality Reduction
- Implement Classification Algorithms
- Perform Regression Analysis on Biological Data
- Use Clustering Techniques for Pattern Discovery