Machine Learning and Data Science Consulting
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About this service
Summary
What's included
Data Assessment and Recommendations
A detailed report on the quality, relevance, and potential of the client's data sources. This may include recommendations for data collection, cleaning, and augmentation.
Exploratory Data Analysis (EDA) Report
An EDA report provides insights into the data, identifying patterns, trends, and anomalies. It helps in understanding the data's characteristics and informs further analysis.
Model Evaluation and Validation Report
A report that assesses the model's performance using relevant evaluation metrics. It demonstrates how well the model generalises to unseen data and meets predefined accuracy or performance criteria.
Optimization Recommendations
Recommendations for fine-tuning the model or adjusting hyperparameters to improve accuracy, efficiency, or robustness.
Deployment Plan
A plan outlining how the model can be deployed into the client's production environment, including considerations for packaging, APIs, and infrastructure requirements.
Monitoring and Maintenance Guidelines
Guidelines for establishing monitoring mechanisms to track the model's performance, detect anomalies, and address updates or adjustments over time.
Presentation and Communication
Clear and concise presentations or reports to communicate findings, progress, and results to stakeholders within the client's organisation.
Example projects
Skills and tools
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