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1. Permutation Feature Importance from Scratch

   This article explains permutation feature importance (PFI), a popular method for understanding feature importance in explainable AI. The author walks through calculating PFI from scratch using Python and XGBoost, discussing the rationale behind the method and its limitations.

   2024-04-25 Tags: permutation, feature importance, pfi, explainable ai, xgboost, python, machine learning by klotz
2. XGBoost: Intro, Step-by-Step Implementation, and Performance Comparison

   - Extreme Gradient Boosting: A quick and reliable regressor and classifier
   - Summary: LightGBM is faster and better though XGBoost is close

   2023-09-29 Tags: machine learning, gofml, accuracy, precision, recall, xgboost, random forest, svm, k-nn, lightgbm, catboost, gradientboosting, adaboost by klotz
3. Be Careful When Interpreting Predictive Models in Search of Causal Insights | by Scott Lundberg | May, 2021 | Towards Data Science

   2021-05-19 Tags: shap, xgboost, prediction, root cause analysis, machine learning, deep learning by klotz
4. How to Use XGBoost for Time Series Forecasting

   2020-08-05 Tags: xgboost, time-series, machine learning by klotz
5. A Comprehensive Guide to Understand and Implement Text Classification in Python

   A Comprehensive Guide to Understand and Implement Text Classification in Python

   2019-02-12 Tags: text, classification, python, pandas, scikit-learn, xgboost, textblob, keras by klotz
6. Using XGBoost in Python (article) - DataCamp

   2018-07-10 Tags: xgboost, python, machine learning by klotz

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