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  1. the difference between random_state = 0 & random_state = 1 | Kaggle

    the difference between random_state = 0 & random_state = 1 Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side.

  2. Using XGBoost with Scikit-learn - Kaggle

    XGBoost ¶ Exploring the use of XGBoost and its integration with Scikit-Learn. Some useful links: XGBoost documentation Parameters Python package Python examples scikit-learn examples …

  3. Undersampling and oversampling imbalanced data | Kaggle

    Explore and run machine learning code with Kaggle Notebooks | Using data from Credit Card Fraud Detection

  4. Decision-Tree Classifier Tutorial | Kaggle

    Explore and run machine learning code with Kaggle Notebooks | Using data from Car Evaluation Data Set

  5. random_state in Machine Learning | Kaggle

    random_state in Machine Learning Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side.

  6. Anomaly Detection using Isolation Forest - Kaggle

    Explore and run machine learning code with Kaggle Notebooks | Using data from Credit Card Fraud Detection

  7. What actually random_state does? | Kaggle

    What actually random_state does? Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side.

  8. Decision Trees & Random Forest for Beginners - Kaggle

    License This Notebook has been released under the Apache 2.0 open source license.

  9. Why do we choose random state as 42 very often? | Kaggle

    🎯🎯 Why do we choose random state as 42 very often? 😎😎

  10. E-commerce Sales Prediction Dataset - Kaggle

    Jan 1, 2023 · E-commerce Sales Prediction Dataset This repository contains a comprehensive and clean dataset for predicting e-commerce sales, tailored for data scientists, machine learning …