1
Basics of Machine Learning
1 Hour
2
Supervised, Unsupervised, and Reinforcement Learning
1 Hour
3
Hands-on: Learn the Basics with scikit-learn Library in Python
1 Hour
4
Data Cleaning and Feature Selection
1 Hour
5
Handling Molecular Data
1 Hour
6
Hands-on: Use Pandas and NumPy for Data Preprocessing
1 Hour
7
Regression and Classification Algorithms
1 Hour
8
Deep Learning in Drug Discovery
1 Hour
9
Hands-on: Implement Machine Learning Models using scikit-learn
1 Hour
10
Hands-on: Implement Machine Learning Models using TensorFlow/Keras
1 Hour
11
Predicting Drug-Target Interactions
1 Hour
13
Hands-on: Apply Machine Learning to Real Datasets with RDKit
1 Hour
14
Hands-on: Apply Machine Learning to Real Datasets with Cheminformatics
1 Hour
15
Structure-Activity Relationship (SAR) Analysis
1 Hour
16
Hands-on: Use RDKit for SAR Analysis
1 Hour
17
De Novo Drug Design using ML
1 Hour
18
Explore De Novo Design Tools
1 Hour
19
Advanced Machine Learning Techniques in Drug Design
1 Hour
20
Integration of Omics Data in Drug Discovery
1 Hour
21
Clinical Trial Design and Data Analysis
1 Hour
22
Ethical Considerations in Drug Design and Machine Learning
1 Hour
23
Real-World Applications
1 Hour
24
Q&A and discussion
1 Hour
