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1. ML-model_Drug_analysis. ML-model_Drug_analysis. Public

   End-to-end ML pipeline demonstrating data preparation, model training, evaluation, and interpretability for drug expression datasets.

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2. my_internship_project my_internship_project Public

   Predictive Modelling of Drug-Drug Interactions in Rheumatoid Arthritis Personalised Medicine Using Network Pharmacology and Machine Learning: An Integrated Systems Biology Approach

3. ra_dgidb_query.ipynb ra_dgidb_query.ipynb Public

   rheumatoid-arthritis, drug-gene-interactions, dgidb, bioinformatics, network-pharmacology, drug-repurposing, cytoscape, computational-biology, personalized-medicine, python-script

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4. Michen-learning_basics_project-1- Michen-learning_basics_project-1- Public

   Build Machine Learning Models for Artificial Intelligence: Develop and fine-tune ML models for classification, regression, and clustering.

   Jupyter Notebook

5. GCN_Drug-property-_prediction- GCN_Drug-property-_prediction- Public

   In drug discovery, molecules are represented as graphs where atoms are nodes and chemical bonds are edges. GNNs are ideal for predicting molecular properties, binding affinities, or toxicity — crit…

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6. ML_-predicting_Drug_Drug_interation ML_-predicting_Drug_Drug_interation Public

   Jupyter Notebook