Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

Dive into a comprehensive tutorial on using Python and machine learning for drug discovery in bioinformatics. Explore data collection, perform exploratory data analysis, calculate descriptors, build and compare models, and learn about model deployment. Gain hands-on experience with a practical bioinformatics project, guided by Chanin Nantasenamat (Data Professor). Access accompanying code on GitHub and discover additional resources through the instructor's YouTube channels and Medium blog for further learning in bioinformatics and data science.

) Introduction.
) Part 1 - Data collection.
) Part 2 - Exploratory data analysis.
) Part 3 - Descriptor calculation.
) Part 4 - Model building.
) Part 5 - Model comparison.
) Part 6 - Model deployment.