Introduction to Python for IA

Introduction to Python for IA

Dr. Luis García, CNyN-UNAM

Known for its simplicity and versatility, Python has become the language of choice for many developers and data scientists working in the field of AI. This course explores the basic AI concepts and algorithms for creating a QSAR model using Python. After completing the course students will be able to prepare data (analyze and clean), select the best features using different strategies and build classification models. As example problem we will build a QSAR model for predict activities in small compounds.

Content:

1. Environment setting
2. Python scientific libraries
3. Data analysis
4. Feature selection algorithms
5. Modeling algorithms

For taking the workshop, It is desired to have basic knowledge of Python