I will explain machine learning models using shap and feature importance

India

I speak English

Machine Learning and Time Series Forecasting Specialist

I am a Data Scientist specializing in machine learning and time series forecasting for price, demand, and supply prediction. I build end-to-end predictive models, including data preprocessing, feature...
About this Gig

I provide explainable AI solutions to help understand how machine learning models make predictions. Model interpretability is essential for trust, transparency, and decision making.


I specialise in explaining complex models using SHAP and feature importance techniques.

Services include model interpretation, feature impact analysis, and visualisation of how variables influence predictions.


Techniques used:

SHAP values, feature importance, partial dependence analysis, and model interpretation methods.


Supported models:

Random Forest, XGBoost, LightGBM, CatBoost, Neural Networks, and other machine learning models.


Tools:

Python, SHAP, Scikit-learn, XGBoost, LightGBM, Jupyter Notebook, Amazon Sagemaker, Google Colab.


Please contact me before placing an order to discuss your model and interpretation requirements.

Expertise:

Feature learning

Classification

Clustering

Programming language:

Python

SQL

Colab

MLflow

Amazon SageMaker

Frameworks:

Scikit-learn

Keras

PyTorch

Panda

Other

Tools:

Jupyter Notebook

TensorFlow

MLflow

Amazon SageMaker

My Portfolio

Other Data Science & ML Services I Offer

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