ROC and AUC — How to Evaluate Machine Learning Models in No Time
With hands-on examples. Model evaluation is an essential step in the design cycle of a machine learning system. Most of …
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LIME vs. SHAP: Which is Better for Explaining Machine Learning Models?
Two of the most popular Explainers compared Today, training an accurate model is not enough for its successful deployment. You …
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LIME: How to Interpret Machine Learning Models with Python
Making machine learning models easy to explain Introduction to Interpretable Machine Learning Models Interpretability of a machine learning model is …
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SHAP: How to Interpret Machine Learning Models with Python
Explaining machine learning with a single function call Black-box machine learning models are a thing of the past. To deploy …
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3 Essential Ways to Calculate Feature Importance in Python
Feature importance refers to a score assigned to an input feature (variable) of a machine learning model depending upon its …
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Logistic Regression from Scratch in Python
Classification is an important area in machine learning and data mining, and it falls under the concept of supervised machine …
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