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Machine Learning & MLOps

From notebook to production model.

Overview

Classical machine learning still solves many problems best: forecasting sales, predicting churn, classifying requests or spotting unusual activity.

This area covers the ML workflow end to end, with a focus on getting models into real use.

Tools & technologies

  • Python
  • pandas
  • scikit-learn
  • XGBoost
  • PyTorch
  • MLflow
  • Docker

What you can build & sell

What businesses use ML & MLOps for

Sales forecasting

Predicting demand so a business can plan stock and staff.

Customer churn

Spotting customers likely to leave so the business can act early.

Request classification

Automatically sorting incoming requests by type and urgency.

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