| 000 | 01342nam a22002777i 4500 | ||
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| 005 | 20250723160115.0 | ||
| 008 | 250723s ii ao||fr|||| 00| 0 eng d | ||
| 020 | _a9789389898002 | ||
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_aEG-GaU _cEG-GaU _dEG-GaU _erda |
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| 082 | 0 | 4 |
_223 _a006.3 _bg.r.m. |
| 100 | 1 |
_aGuha, Rehan, _eauthor _960496 |
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| 245 | 1 | 0 |
_aMachine learning cookbook with Python : _bcreate ML and data analytics projects using some amazing open datasets / _cRehan Guha. |
| 250 | _a 1st edition. | ||
| 264 | 1 |
_aNew Delhi : _bBPB Publications, _c2020. |
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| 300 |
_a264 pages : _billustrations ; _c24 cm |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _a1. Boston Crime ‡ 2. World Happiness Report ‡ 3. Iris Species ‡ 4. Credit Card Fraud Detection ‡ 5. Heart Disease UCI. | |
| 520 | _aA cookbook-style guide featuring five practical projects using real datasets to teach machine learning pipelines, model tuning, classification, and data analysis with Python (NumPy, Pandas, scikit-learn). :contentReference[oaicite:1]{index=1} | ||
| 650 | 0 |
_aMachine learning _xStudy and teaching. _960492 |
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| 650 | 0 |
_aData analytics. _960497 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c11094 _d11094 |
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