GigaCourse Com Udemy Python for Data Science Machine Learning from 14 Nearest Neighbors Compare the result with the sklearn library srt

GigaCourse Com Udemy Python for Data Science Machine Learning from
14 Nearest Neighbors Compare the result with the sklearn library srt

Name	[GigaCourse.Com] Udemy - Python for Data Science & Machine Learning from A-Z	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.9 GB
Total Files	298
Last Seen	2025-06-04 00:15
Hash	E4166DCF5CE4A8C75A656340D075DD43323182F1

/14. K Nearest Neighbors/6. Compare the result with the sklearn library.srt	5.2 KB
/14. K Nearest Neighbors/6. Compare the result with the sklearn library.mp4	25.8 MB
/14. K Nearest Neighbors/11. Curse of dimensionality.srt	9.8 KB
/14. K Nearest Neighbors/5. Implement the KNN algorithm from scratch.srt	17.6 KB
/14. K Nearest Neighbors/9. Manhattan vs Euclidean Distance.srt	7.9 KB
/14. K Nearest Neighbors/7. Hyperparameter tuning using the cross-validation.srt	15.0 KB
/14. K Nearest Neighbors/11. Curse of dimensionality.mp4	48.2 MB
/14. K Nearest Neighbors/2. parametric vs non-parametric models.srt	4.8 KB
/14. K Nearest Neighbors/5. Implement the KNN algorithm from scratch.mp4	91.2 MB
/14. K Nearest Neighbors/8. The decision boundary visualization.srt	7.2 KB
/14. K Nearest Neighbors/10. Feature scaling in KNN.srt	8.3 KB
/14. K Nearest Neighbors/3. EDA on Iris Dataset.srt	32.4 KB
/14. K Nearest Neighbors/4. The KNN Intuition.srt	3.1 KB
/14. K Nearest Neighbors/9. Manhattan vs Euclidean Distance.mp4	32.0 MB
/14. K Nearest Neighbors/7. Hyperparameter tuning using the cross-validation.mp4	94.7 MB
Showing first 15 files of 298 total files