In this study, various approaches to feature space formation for solving data processing tasks are examined, and their implementation mechanisms in a programming environment are investigated. The paper describes methods for establishing internal relationships based on data characteristics, categorizing information, and handling categorical variables. Furthermore, techniques for grouping, scaling, and normalizing numerical data are presented, including practical approaches to data preprocessing in software environments.
| Mualliflar | Matchonov, Shohruh, Asatov, Timur |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashriyot | Жиззах политехника институти |
| ISSN | 3030-3702, 3030-3702 |
| Nashr sanasi | 2025-10-23 |
| Jild | 3 |
| Son | 9 |
| Betlar | 8-13 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| DOI | 10.47390/ts-v3i9y2025no2 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.47390/ts-v3i9y2025no2 · Maqolaning asl sahifasi
One-Hot Encoding, Label Encoding, Binning, Empirical Rule, MinMax Normalization, z-Normalization, StandardScaler, Normalization, Scaling., One-Hot Encoding, Label Encoding, Binning, Empirik qoida, MinMax normallashtirish, z-normallashtirish, StandardScaler, Normallashtirish, Masshtablash.
| APA | Matchonov, Shohruh, & Asatov, Timur (2025). AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS. Techscience.uz - техника фанлари долзарб масалалри, 3(9), 8-13. https://doi.org/10.47390/ts-v3i9y2025no2 |
|---|---|
| GOST (OAK) | Matchonov, Shohruh, Asatov, Timur AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS // Techscience.uz - техника фанлари долзарб масалалри. – 2025. – T. 3, № 9. – P. 8-13. – DOI: 10.47390/ts-v3i9y2025no2. |
| MLA | Matchonov, Shohruh, and Asatov, Timur. “AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS.” Techscience.uz - техника фанлари долзарб масалалри, 3(9), 8-13, 2025. https://doi.org/10.47390/ts-v3i9y2025no2 |
| Chicago | Matchonov, Shohruh, and Asatov, Timur. “AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS.” Techscience.uz - техника фанлари долзарб масалалри, 3(9), 8-13 (2025). https://doi.org/10.47390/ts-v3i9y2025no2 |
| Harvard | Matchonov, Shohruh, and Asatov, Timur (2025) ‘AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS’, Techscience.uz - техника фанлари долзарб масалалри, 3(9), 8-13. https://doi.org/10.47390/ts-v3i9y2025no2 |
| BibTeX | @article{matchonovshohruh2025,
title = {AN APPROACH TO FEATURE SPACE FORMATION FOR MACHINE LEARNING MODELS},
author = {Matchonov, Shohruh and Asatov, Timur},
journal = {Techscience.uz - техника фанлари долзарб масалалри},
year = {2025},
volume = {3},
number = {9},
pages = {8-13},
doi = {10.47390/ts-v3i9y2025no2},
url = {https://doi.org/10.47390/ts-v3i9y2025no2}
} |
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