What's included

• The following will be delivered

  1. Trained Machine Learning Model: A functional model capable of making accurate predictions based on provided data. 2. Model Evaluation Metrics: Comprehensive performance metrics (accuracy, precision, recall, F1-score, etc.) to assess model quality. 3. Model Documentation: Detailed explanation of the model, including features, algorithms, hyperparameters, and assumptions. 4. Data Preprocessing Pipeline: Code for data cleaning and transformation 5. Deployment Plan (optional): Recommendations or code for deploying the model into a production environment. 6. Model Interpretability (optional): Techniques to understand the model's decision-making process. 7. Ongoing Support (optional): Maintenance, updates, and retraining plans for the model. Note: The specific deliverables can vary based on project complexity and client requirements.