[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost torrent, magnet, bt

Latest Search: 1.扶腿传教士女上位啪啪大屌塞满小穴 2.몸속 3.Blue Box S01E10 4.あずさ 5.START-216

[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

magnet:?xt=urn:btih:D426B3A7752DE599113E2DA546418B99C64A577E&dn=%5BTutorialsplanet.NET%5D%20Udemy%20-%20Ensemble%20Machine%20Learning%20in%20Python%20Random%20Forest%2C%20AdaBoost

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

D426B3A7752DE599113E2DA546418B99C64A577E

Number of Files:

Content Size:

1GB

Convert On:

2023-04-07

Keywords:

Tutorialsplanet NET Udemy Ensemble Machine Learning in Python Random Forest AdaBoost

Magnet Link:

magnet:?xt=urn:btih:D426B3A7752DE599113E2DA546418B99C64A577E&dn=%5BTutorialsplanet.NET%5D%20Udemy%20-%20Ensemble%20Machine%20Learning%20in%20Python%20Random%20Forest%2C%20AdaBoost

Link:

//btsow.motorcycles/magnet/detail/hash/D426B3A7752DE599113E2DA546418B99C64A577E

Download

Play Now

File Name

Size

1. Get Started/1. Outline and Motivation.mp4

7.2MB

1. Get Started/1. Outline and Motivation.srt

6.81KB

1. Get Started/2. Where to get the Code and Data.mp4

3.35MB

1. Get Started/2. Where to get the Code and Data.srt

2.88KB

1. Get Started/3. All Data is the Same.mp4

5.25MB

1. Get Started/3. All Data is the Same.srt

4.43KB

1. Get Started/4. Plug-and-Play.mp4

3.51MB

1. Get Started/4. Plug-and-Play.srt

2.9KB

2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.mp4

10.24MB

2. Bias-Variance Trade-Off/1. Bias-Variance Key Terms.srt

8.93KB

2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.mp4

4.89MB

2. Bias-Variance Trade-Off/2. Bias-Variance Trade-Off.srt

4.06KB

2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4

14.29MB

2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.srt

3.67KB

2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4

41.75MB

2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.srt

13.33KB

2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4

13.86MB

2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.srt

13.87MB

2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.mp4

6.97MB

2. Bias-Variance Trade-Off/6. Cross-Validation as a Method for Optimizing Model Complexity.srt

5.79KB

3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4

47.72MB

3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.srt

30.02MB

3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.mp4

10.95MB

3. Bootstrap Estimates and Bagging/2. Bootstrap Demo.srt

4.22KB

3. Bootstrap Estimates and Bagging/3. Bagging.mp4

3.93MB

3. Bootstrap Estimates and Bagging/3. Bagging.srt

3.94MB

3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4

15.87MB

3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.srt

4.75KB

3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4

20.31MB

3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.srt

14MB

3. Bootstrap Estimates and Bagging/6. Stacking.mp4

6.07MB

3. Bootstrap Estimates and Bagging/6. Stacking.srt

5.05KB

4. Random Forest/1. Random Forest Algorithm.mp4

14.42MB

4. Random Forest/1. Random Forest Algorithm.srt

16.87MB

4. Random Forest/2. Random Forest Regressor.mp4

14.89MB

4. Random Forest/2. Random Forest Regressor.srt

8.51KB

4. Random Forest/3. Random Forest Classifier.mp4

12.58MB

4. Random Forest/3. Random Forest Classifier.srt

5.69KB

4. Random Forest/4. Random Forest vs Bagging Trees.mp4

7.82MB

4. Random Forest/4. Random Forest vs Bagging Trees.srt

4.41KB

4. Random Forest/5. Implementing a Not as Random Forest.mp4

8.7MB

4. Random Forest/5. Implementing a Not as Random Forest.srt

5.02KB

4. Random Forest/6. Connection to Deep Learning Dropout.mp4

4.23MB

4. Random Forest/6. Connection to Deep Learning Dropout.srt

18.94MB

5. AdaBoost/1. AdaBoost Algorithm.mp4

10.88MB

5. AdaBoost/1. AdaBoost Algorithm.srt

9.02KB

5. AdaBoost/2. Additive Modeling.mp4

2.8MB

5. AdaBoost/2. Additive Modeling.srt

2.35KB

5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4

11.18MB

5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.srt

8.43KB

5. AdaBoost/4. AdaBoost Implementation.mp4

15.78MB

5. AdaBoost/4. AdaBoost Implementation.srt

18.53MB

5. AdaBoost/5. Comparison to Stacking.mp4

5.45MB

5. AdaBoost/5. Comparison to Stacking.srt

4.34KB

5. AdaBoost/6. Connection to Deep Learning.mp4

6.04MB

5. AdaBoost/6. Connection to Deep Learning.srt

4.76KB

5. AdaBoost/7. Summary and What's Next.mp4

7.37MB

5. AdaBoost/7. Summary and What's Next.srt

6.17KB

6. Appendix FAQ/1. What is the Appendix.mp4

5.45MB

6. Appendix FAQ/1. What is the Appendix.srt

3.72KB

6. Appendix FAQ/10. Python 2 vs Python 3.mp4

7.83MB

6. Appendix FAQ/10. Python 2 vs Python 3.srt

6.1KB

6. Appendix FAQ/11. What order should I take your courses in (part 1).mp4

29.33MB

6. Appendix FAQ/11. What order should I take your courses in (part 1).srt

16.03KB

6. Appendix FAQ/12. What order should I take your courses in (part 2).mp4

37.63MB

6. Appendix FAQ/12. What order should I take your courses in (part 2).srt

23.04KB

6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

37.83MB

6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.srt

37.85MB

6. Appendix FAQ/2. Confidence Intervals.mp4

12.59MB

6. Appendix FAQ/2. Confidence Intervals.srt

13.2KB

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4

186.29MB

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt

20.1KB

6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

43.92MB

6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

14.48KB

6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4

24.54MB

6. Appendix FAQ/5. How to Code by Yourself (part 1).srt

22.75KB

6. Appendix FAQ/6. How to Code by Yourself (part 2).mp4

14.8MB

6. Appendix FAQ/6. How to Code by Yourself (part 2).srt

13.26KB

6. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4

13MB

6. Appendix FAQ/7. How to Succeed in this Course (Long Version).srt

5.29MB

6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.95MB

6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

31.79KB

6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4

78.26MB

6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.srt

14.12KB

[Tutorialsplanet.NET].url

128B

Latest Search:

1.扶腿传教士女上位啪啪大屌塞满小穴 2.몸속 3.Blue Box S01E10 4.あずさ 5.START-216 6.MomComesFirst.22.05.04 7.Bed+ 8.Feynman 9.Ao no Hako S01E10 10.oned-962 11.権力に逆らえず最愛の妻を売って… 12.sone -c 13.Rakshasa Street 14.okax-984 15.‭Bitcoin 16.mrluckypov 1080p 17.Tamil 18.pragmatic epub 19.Han Solo at Stars' End 20.Fringe S04 21.r n 22.FakeTaxi.23.02.21 23.mala 24.atlanta S1 25.YMDD-376 26.ood 27.mind your language 28.EvilAngel+alexa+grace 29.18 c mp4 30.bdollairi