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25 ta ish

Ish: Evaluation of Classical and Ensemble Machine Learning Algorithms in KNN-Based Missing Data Imputation

  1. Effective Methods of Categorical Data Encoding for Artificial Intelligence Algorithms

    Furkat Bolikulov, Rashid Nasimov, Akbar Rashidov +2

    MaqolaMultidisciplinary Science and Engineering ResearchMathematics202420 iqtibos
    ABI

  2. Optimization and Improvement of Reliability of Machine Learning Algorithms Based on Regularization Methods

    Sherzodjon Yarmatov, Xudaykul Bustanov, Lola Safarova

    MaqolaAdvanced Computational Techniques in Science and Engineering20257 iqtibos
    ABI

  3. A Brief Review of Nearest Neighbor Algorithm for Learning and Classification

    Kashvi Taunk, Sanjukta De, Srishti Verma +1

    Sharh maqola20194 iqtibos
    ABI

  4. Vehicle CO<sub>2</sub> Emission Prediction Using Deep Learning and Ensemble Machine Learning Methods

    Sokhobiddin Akhatkulov, Islom Yalgoshev, Zokir Urinboyev

    MaqolaVehicle emissions and performance20253 iqtibos
    ABI

  5. Preparation Datasets Based on Artificial Intelligence Models and Classification Algorithms

    Shokhrukh Sariyev, Gulzoda Negmatova, Asliddin Sayidkulov

    MaqolaAdvanced Data Processing Techniques20253 iqtibos
    ABI

  6. Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications

    Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin +2

    Sharh maqola20243 iqtibos
    ABI

  7. The prevention and handling of the missing data

    Hyun Kang

    Maqola20133 iqtibos
    ABI

  8. Ensemble Machine Learning Algorithms for Crop Types Classification Based on Intelligent Detection of Soil Properties

    Abror Akhatov, Nazarov Fayzulla, Masudjon Eshmurodov

    MaqolaSmart Agriculture and AI20252 iqtibos
    ABI

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