What's included

• Project Proposal & Data Strategy

  I'll define the problem and objectives, propose a machine learning solution, and outline a plan for data collection and preprocessing if required.

• Model Development & Validation

  I'll develop, test, and validate the machine learning model, provide detailed reports on the performance and interpretation of the model, and perform necessary feature engineering and selection

• Deployment & Maintenance Plans

  I'll prepare comprehensive plans for deploying the model into production and for its ongoing monitoring and maintenance.

• Final Report & Presentation

  I'll deliver a high-level summary of the entire project, its findings, and its value, intended for stakeholders unfamiliar with machine learning.

• Technical Documentation & Deliverables

  I'll maintain thorough documentation of the project, including well-commented code and machine learning models, and deliver these in a reproducible format such as Jupyter notebooks or Docker containers.

• Communication & Stakeholder Management

  Throughout the project, I'll ensure constant communication and alignment with all stakeholders to ensure that the machine learning solution perfectly fits the business objectives.