[FreeCourseSite.com] Udemy - Machine Learning with Imbalanced Data - 磁力管家

BT种子名称

分享给好友

BT种子基本信息

种子哈希：dacde09eac2d17b68a03836303daeee0b6bf4bc6
文档大小：3.2 GB
文档个数：200个文档
下载次数：1812次
下载速度：极快
收录时间：2021-05-21
最近下载：2025-05-09
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:DACDE09EAC2D17B68A03836303DAEEE0B6BF4BC6
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码迅雷看看
磁力链接在线播放？试试百度云网盘离线下载播放！

[FreeCourseSite.com] Udemy - Machine Learning with Imbalanced Data的二维码

文档列表

3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 91.0 MB
3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 84.2 MB
8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 75.5 MB
7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 74.3 MB
7. Ensemble Methods/5. Boosting.mp4 74.0 MB
3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 70.2 MB
4. Udersampling/3. Random Under-Sampling - Demo.mp4 70.2 MB
9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 68.0 MB
8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 58.8 MB
4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 55.3 MB
9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 54.5 MB
3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 51.5 MB
9. Probability Calibration/5. Brier Score - Demo.mp4 51.4 MB
5. Oversampling/6. SMOTE-NC.mp4 50.4 MB
3. Evaluation Metrics/3. Accuracy - Demo.mp4 49.9 MB
4. Udersampling/22. Undersampling Method Comparison.mp4 49.8 MB
7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 49.6 MB
9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 49.0 MB
5. Oversampling/10. Borderline SMOTE.mp4 48.4 MB
5. Oversampling/4. SMOTE.mp4 46.8 MB
8. Cost Sensitive Learning/2. Types of Cost.mp4 46.1 MB
7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.mp4 45.0 MB
8. Cost Sensitive Learning/10. MetaCost.mp4 44.6 MB
3. Evaluation Metrics/13. Precision-Recall Curve.mp4 42.5 MB
5. Oversampling/16. Over-Sampling Method Comparison.mp4 41.7 MB
3. Evaluation Metrics/11. ROC-AUC.mp4 41.2 MB
5. Oversampling/13. SVM SMOTE - Demo.mp4 38.8 MB
8. Cost Sensitive Learning/12. Optional MetaCost Base Code.mp4 38.7 MB
6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp4 38.7 MB
6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.mp4 38.3 MB
5. Oversampling/3. Random Over-Sampling - Demo.mp4 36.9 MB
2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.mp4 36.8 MB
6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.mp4 36.0 MB
9. Probability Calibration/1. Probability Calibration.mp4 35.7 MB
2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.mp4 34.9 MB
8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp4 34.3 MB
4. Udersampling/4. Condensed Nearest Neighbours - Intro.mp4 34.0 MB
1. Introduction/1. Introduction.mp4 33.8 MB
5. Oversampling/8. ADASYN.mp4 33.1 MB
3. Evaluation Metrics/12. ROC-AUC - Demo.mp4 33.1 MB
4. Udersampling/1. Under-Sampling Methods - Introduction.mp4 33.0 MB
4. Udersampling/11. Edited Nearest Neighbours - Demo.mp4 32.3 MB
4. Udersampling/21. Instance Hardness Threshold - Demo.mp4 32.0 MB
7. Ensemble Methods/7. Hybdrid Methods.mp4 32.0 MB
3. Evaluation Metrics/7. Confusion tables, FPR and FNR.mp4 31.2 MB
9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.mp4 31.0 MB
9. Probability Calibration/2. Probability Calibration Curves.mp4 30.2 MB
5. Oversampling/14. K-Means SMOTE.mp4 28.9 MB
9. Probability Calibration/7. Calibrating a Classifier.mp4 28.5 MB
7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.mp4 27.8 MB
4. Udersampling/19. NearMiss - Demo.mp4 27.6 MB
4. Udersampling/2. Random Under-Sampling - Intro.mp4 26.9 MB
4. Udersampling/9. One Sided Selection - Demo.mp4 26.8 MB
5. Oversampling/12. SVM SMOTE.mp4 26.5 MB
9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.mp4 26.4 MB
5. Oversampling/15. K-Means SMOTE - Demo.mp4 26.0 MB
5. Oversampling/11. Borderline SMOTE - Demo.mp4 26.0 MB
4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.mp4 25.5 MB
4. Udersampling/7. Tomek Links - Demo.mp4 25.1 MB
3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.mp4 24.2 MB
4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.mp4 24.2 MB
8. Cost Sensitive Learning/11. MetaCost - Demo.mp4 24.1 MB
8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.mp4 24.0 MB
4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.mp4 24.0 MB
4. Udersampling/15. All KNN - Demo.mp4 23.8 MB
4. Udersampling/10. Edited Nearest Neighbours - Intro.mp4 23.7 MB
3. Evaluation Metrics/2. Accuracy.mp4 22.5 MB
5. Oversampling/7. SMOTE-NC - Demo.mp4 22.5 MB
8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.mp4 22.3 MB
5. Oversampling/1. Over-Sampling Methods - Introduction.mp4 22.1 MB
5. Oversampling/9. ADASYN - Demo.mp4 22.0 MB
3. Evaluation Metrics/16. Probability.mp4 21.6 MB
2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.mp4 21.2 MB
7. Ensemble Methods/2. Foundations of Ensemble Learning.mp4 20.7 MB
4. Udersampling/20. Instance Hardness Threshold - Intro.mp4 20.7 MB
4. Udersampling/6. Tomek Links - Intro.mp4 19.9 MB
8. Cost Sensitive Learning/3. Obtaining the Cost.mp4 19.9 MB
8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.mp4 19.6 MB
5. Oversampling/5. SMOTE - Demo.mp4 19.3 MB
7. Ensemble Methods/3. Bagging.mp4 19.1 MB
3. Evaluation Metrics/14. Precision-Recall Curve - Demo.mp4 19.0 MB
1. Introduction/2. Course Curriculum Overview.mp4 18.4 MB
4. Udersampling/18. NearMiss - Intro.mp4 18.0 MB
9. Probability Calibration/4. Brier Score.mp4 18.0 MB
4. Udersampling/14. All KNN - Intro.mp4 17.1 MB
4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.mp4 16.7 MB
5. Oversampling/2. Random Over-Sampling.mp4 16.4 MB
4. Udersampling/8. One Sided Selection - Intro.mp4 12.5 MB
1. Introduction/3. Course Material.mp4 11.5 MB
3. Evaluation Metrics/1. Introduction to Performance Metrics.mp4 11.3 MB
8. Cost Sensitive Learning/4. Cost Sensitive Approaches.mp4 10.8 MB
4. Udersampling/23.1 Undersampling-Comparison.pdf 210.5 kB
3. Evaluation Metrics/4. Precision, Recall and F-measure.srt 15.5 kB
8. Cost Sensitive Learning/9. Bayes Conditional Risk.srt 15.0 kB
4. Udersampling/3. Random Under-Sampling - Demo.srt 13.8 kB
3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.srt 12.5 kB
3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.srt 12.5 kB
8. Cost Sensitive Learning/2. Types of Cost.srt 12.3 kB
7. Ensemble Methods/8. Ensemble Methods - Demo.srt 12.1 kB
9. Probability Calibration/3. Probability Calibration Curves - Demo.srt 11.8 kB
7. Ensemble Methods/5. Boosting.srt 10.9 kB
5. Oversampling/6. SMOTE-NC.srt 10.6 kB
9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.srt 10.6 kB
5. Oversampling/4. SMOTE.srt 10.3 kB
3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.srt 9.8 kB
5. Oversampling/10. Borderline SMOTE.srt 9.5 kB
4. Udersampling/22. Undersampling Method Comparison.srt 9.5 kB
3. Evaluation Metrics/13. Precision-Recall Curve.srt 9.5 kB
4. Udersampling/5. Condensed Nearest Neighbours - Demo.srt 9.4 kB
8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.srt 9.2 kB
9. Probability Calibration/5. Brier Score - Demo.srt 9.0 kB
8. Cost Sensitive Learning/10. MetaCost.srt 8.7 kB
3. Evaluation Metrics/11. ROC-AUC.srt 8.5 kB
4. Udersampling/4. Condensed Nearest Neighbours - Intro.srt 8.5 kB
7. Ensemble Methods/6. Boosting plus Re-Sampling.srt 8.2 kB
8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.srt 8.0 kB
5. Oversampling/8. ADASYN.srt 7.9 kB
8. Cost Sensitive Learning/12. Optional MetaCost Base Code.srt 7.6 kB
3. Evaluation Metrics/7. Confusion tables, FPR and FNR.srt 7.5 kB
9. Probability Calibration/1. Probability Calibration.srt 7.5 kB
3. Evaluation Metrics/3. Accuracy - Demo.srt 7.5 kB
9. Probability Calibration/8. Calibrating a Classifier - Demo.srt 7.4 kB
6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.srt 7.4 kB
5. Oversampling/16. Over-Sampling Method Comparison.srt 7.3 kB
9. Probability Calibration/2. Probability Calibration Curves.srt 6.8 kB
4. Udersampling/2. Random Under-Sampling - Intro.srt 6.8 kB
4. Udersampling/1. Under-Sampling Methods - Introduction.srt 6.7 kB
6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.srt 6.7 kB
2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.srt 6.6 kB
7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.srt 6.5 kB
5. Oversampling/3. Random Over-Sampling - Demo.srt 6.5 kB
6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.srt 6.4 kB
9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.srt 6.4 kB
5. Oversampling/12. SVM SMOTE.srt 6.2 kB
5. Oversampling/14. K-Means SMOTE.srt 6.2 kB
2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.srt 6.1 kB
9. Probability Calibration/7. Calibrating a Classifier.srt 6.0 kB
3. Evaluation Metrics/16. Probability.srt 5.7 kB
4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.srt 5.5 kB
7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.srt 5.5 kB
4. Udersampling/10. Edited Nearest Neighbours - Intro.srt 5.5 kB
3. Evaluation Metrics/12. ROC-AUC - Demo.srt 5.5 kB
3. Evaluation Metrics/2. Accuracy.srt 5.4 kB
7. Ensemble Methods/7. Hybdrid Methods.srt 5.4 kB
4. Udersampling/6. Tomek Links - Intro.srt 5.4 kB
3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.srt 5.4 kB
4. Udersampling/11. Edited Nearest Neighbours - Demo.srt 5.3 kB
4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.srt 5.1 kB
4. Udersampling/20. Instance Hardness Threshold - Intro.srt 5.1 kB
5. Oversampling/13. SVM SMOTE - Demo.srt 5.0 kB
4. Udersampling/21. Instance Hardness Threshold - Demo.srt 5.0 kB
2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.srt 4.8 kB
4. Udersampling/9. One Sided Selection - Demo.srt 4.8 kB
9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.srt 4.7 kB
8. Cost Sensitive Learning/3. Obtaining the Cost.srt 4.7 kB
4. Udersampling/19. NearMiss - Demo.srt 4.7 kB
8. Cost Sensitive Learning/11. MetaCost - Demo.srt 4.6 kB
4. Udersampling/18. NearMiss - Intro.srt 4.5 kB
8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.srt 4.5 kB
5. Oversampling/1. Over-Sampling Methods - Introduction.srt 4.5 kB
4. Udersampling/14. All KNN - Intro.srt 4.4 kB
8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.srt 4.2 kB
4. Udersampling/7. Tomek Links - Demo.srt 4.2 kB
1. Introduction/1. Introduction.srt 4.1 kB
4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.srt 4.0 kB
5. Oversampling/15. K-Means SMOTE - Demo.srt 4.0 kB
1. Introduction/2. Course Curriculum Overview.srt 4.0 kB
5. Oversampling/9. ADASYN - Demo.srt 3.8 kB
5. Oversampling/2. Random Over-Sampling.srt 3.8 kB
9. Probability Calibration/4. Brier Score.srt 3.8 kB
8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.srt 3.7 kB
5. Oversampling/11. Borderline SMOTE - Demo.srt 3.7 kB
4. Udersampling/15. All KNN - Demo.srt 3.6 kB
3. Evaluation Metrics/14. Precision-Recall Curve - Demo.srt 3.5 kB
5. Oversampling/7. SMOTE-NC - Demo.srt 3.4 kB
3. Evaluation Metrics/1. Introduction to Performance Metrics.srt 3.4 kB
7. Ensemble Methods/3. Bagging.srt 3.3 kB
7. Ensemble Methods/2. Foundations of Ensemble Learning.srt 3.3 kB
5. Oversampling/5. SMOTE - Demo.srt 3.2 kB
4. Udersampling/8. One Sided Selection - Intro.srt 2.9 kB
4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.srt 2.7 kB
1. Introduction/8. Additional resources for Machine Learning and Python programming.html 2.7 kB
1. Introduction/3. Course Material.srt 2.4 kB
7. Ensemble Methods/9. Additional Reading Resources.html 2.0 kB
8. Cost Sensitive Learning/13. Additional Reading Resources.html 2.0 kB
8. Cost Sensitive Learning/4. Cost Sensitive Approaches.srt 1.9 kB
3. Evaluation Metrics/15. Additional reading resources (Optional).html 1.6 kB
2. Machine Learning with Imbalanced Data Overview/4. Additional Reading Resources (Optional).html 1.1 kB
1. Introduction/4. Code Jupyter notebooks.html 962 Bytes
9. Probability Calibration/11. Probability Additional reading resources.html 931 Bytes
10. Moving Forward/1. Next steps.html 712 Bytes
1. Introduction/6. Python package Imbalanced-learn.html 699 Bytes
3. Evaluation Metrics/5. Install Yellowbrick.html 684 Bytes
1. Introduction/7. Download Datasets.html 354 Bytes
1. Introduction/5. Presentations covered in the course.html 286 Bytes
3. Evaluation Metrics/16.1 Link to Jupyter notebook.html 177 Bytes
4. Udersampling/23. Summary Table.html 140 Bytes
0. Websites you may like/[FCS Forum].url 133 Bytes
0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
0. Websites you may like/[CourseClub.ME].url 122 Bytes

==查看完整文档列表==

上一个：NHDTB-447.mp47.4 GB
下一个：RuPauls.Drag.Race.All.Stars.Untucked.S01E03.480p.x264-mSD[eztv.io].mkv 156.7 MB

24小时热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载 WEB DL DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载 WEB DL Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载 WEB DL Star
新桥恋人.电影港地址发布页 www.dygang.me 收藏不迷路 4365次下载 me www 发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载 KiNGDOM WEB DL
www.UIndex.org - ... 4126次下载 www MeGusta HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载 WEB DL 2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载 Live Remastered Hits

本周热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载 zip 巨乳 CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载 S05E02 HEVC 720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载 982108028 mod play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载 web last h264
异世降临.6v电影地址发布页 www.6v123.net 收藏不迷路 5220次下载 www 发布页 6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载 WEB DL S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载 HEVC Andor mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载 WEB DL DDP5

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家