I will implement shap and lime explainable ai for your ml model

Sommige informatie wordt in het Engels weergegeven.

Bangladesh

Ik spreek Bengaals, Engels

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Over deze dienst

Your model works, but can you explain why? I add SHAP and LIME explainable AI to your machine learning model so you, your reviewers or your stakeholders can see what drives every prediction.


Explainable AI is my research focus. I am K. M. Arafat Islam, Founder and CEO of BuildSign Digital, with 15 published papers in Springer and IEEE venues and 4 years of experience applying SHAP and LIME to real socioeconomic data.


What I implement: SHAP summary, beeswarm, bar, waterfall, force and dependence plots LIME local explanations for individual predictions Global vs local feature importance comparison TreeExplainer, KernelExplainer or DeepExplainer as needed XGBoost, LightGBM, Random Forest, scikit-learn, Keras, PyTorch Tabular, text or image models


You receive: Clean, commented Python notebook High-resolution XAI figures Technical summary of what the explanations show


I implement and explain XAI for your model; I do not write research content on your behalf. Share your model or notebook and dataset details before ordering so I can confirm scope.

Expertise:

Afbeeldingenverwerking

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Representatieleren

Programmeertaal:

Python

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R

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MATLAB

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SQL

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Colab

Frameworks:

Scikit-learn

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DeepPy

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Google ML Kit

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PyTorch

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Panda

API's:

Microsoft Computer Vision AI

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Amazon Rekognition

Tools:

Jupyter-notitieboek

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tensorflow

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Excel

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MLflow

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Colab

Mijn portfolio

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