I will build ml models and reinforcement learning agents
About this Gig
I build machine-learning systems for prediction, classification, optimization and sequential decisions.
The work starts with the decision your model must improve and the metric that will judge it. I check the data, build a baseline, compare suitable methods and show where the result fails. You get code that runs outside a notebook, plus clear setup and evaluation notes.
Typical projects include:
- classification, anomaly detection and risk scoring
- demand, delay and energy prediction
- scheduling, routing and resource optimization
- reinforcement-learning environments and agents
- NLP or AI features connected to an existing app
My project work spans transport, logistics, energy and operational planning. Public client reviews on this gig mention on-time delivery, fast replies, clean code, API integration and a working AI app built with open-source tools.
Send the problem, a data sample and the result you need. If a rule-based method would solve it faster than ML, I will say so before you order.
Programming language:
Python
•
MLflow
Frameworks:
Scikit-learn
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DeepPy
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Keras
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PyTorch
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Panda
APIs:
Google Cloud Vision API
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Azure Face API
Tools:
Jupyter Notebook
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TensorFlow
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MLflow
•
Colab

