Data Preprocessing
Clean, transform, and prepare datasets for machine learning models ensuring high quality input data.
Model Training
Build and train machine learning models using algorithms like decision trees, SVM, and neural networks.
Model Evaluation
Evaluate models using accuracy, precision, recall, and F1-score to ensure reliable performance.
Deployment
Deploy machine learning models into production using APIs, cloud platforms, or web applications.