Bioinformatics-ML-GeneClassifier

Simulate gene expression data & train a classifier

Gene Expression Classifier (Machine Learning Mini-Project)

This project demonstrates how machine learning can be applied to small gene expression datasets to classify samples as "Healthy" or "Disease".

🧬 Workflow

1. Load synthetic gene expression dataset
2. Split into training and testing sets
3. Standardize features
4. Train a Random Forest classifier
5. Evaluate model performance (accuracy + classification report)

🛠 Technologies Used

• Python
• pandas
• scikit-learn
• Machine learning fundamentals

📌 Learning Outcomes

• Feature scaling
• Classification model building
• Model evaluation
• Bioinformatics-relevant ML workflow