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【影视】 Machine Learning with Imbalanced Data

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[TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 91.0 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 84.2 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 75.5 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 74.3 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/5. Boosting.mp4 74.0 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 70.2 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/3. Random Under-Sampling - Demo.mp4 70.2 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 68.0 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 58.8 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 55.3 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 54.5 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 51.5 MB
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/6. SMOTE-NC.mp4 50.4 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/3. Accuracy - Demo.mp4 49.9 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/22. Undersampling Method Comparison.mp4 49.8 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 49.6 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 49.0 MB
[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.mp4 48.4 MB
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【影视】 GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【影视】 [CourseClub.NET] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning

收录时间:2018-10-09 文档个数:55 文档大小:891.8 MB 最近下载:2025-05-09 人气:1327 磁力链接

001.Introduction/001. Introduction into the course.mp4 50.7 MB
001.Introduction/001. Introduction into the course.srt 13.3 kB
001.Introduction/002. Experimental particle physics.mp4 55.1 MB
001.Introduction/002. Experimental particle physics.srt 14.0 kB
001.Introduction/003. Testing hypotheses experimentally.mp4 51.4 MB
001.Introduction/003. Testing hypotheses experimentally.srt 12.5 kB
001.Introduction/004. Particle physics simulation.mp4 32.4 MB
001.Introduction/004. Particle physics simulation.srt 7.8 kB
002.Detector composition/005. Particle identification.mp4 36.7 MB
002.Detector composition/005. Particle identification.srt 9.6 kB
002.Detector composition/006. Tracking system.mp4 30.2 MB
002.Detector composition/006. Tracking system.srt 8.4 kB
002.Detector composition/007. Ring Imaging Cherenkov detector.mp4 25.7 MB
002.Detector composition/007. Ring Imaging Cherenkov detector.srt 7.1 kB
002.Detector composition/008. Calorimeters.mp4 48.7 MB
002.Detector composition/008. Calorimeters.srt 13.8 kB
002.Detector composition/009. Muon system.mp4 32.9 MB
002.Detector composition/009. Muon system.srt 9.4 kB
003.Particle identification with machine learning/010. Machine learning in particle identification.mp4 28.0 MB
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【压缩文件】 [Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

收录时间:2021-03-08 文档个数:569 文档大小:6.8 GB 最近下载:2025-05-09 人气:854 磁力链接

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

收录时间:2021-03-17 文档个数:80 文档大小:924.3 MB 最近下载:2025-05-09 人气:1505 磁力链接

5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 [DV1166] Learning English Conversation In Bed - Yuma Asami.avi

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01 Introduction to Data Structures and Important Concepts/001 What Are Data Structures and Why Are They Important_.mp4 43.7 MB
03 Binary Search Trees/035 Breadth First Traversal - part 2.mp4 35.5 MB
03 Binary Search Trees/028 Depth First Traversal - In-Order.mp4 34.5 MB
03 Binary Search Trees/024 Insert Method.mp4 31.5 MB
02 Linked Lists/017 Big O Notation and Calculating the Runtime of a Function.mp4 30.8 MB
01 Introduction to Data Structures and Important Concepts/002 Constructor Functions and the _this_ Keyword.mp4 29.0 MB
02 Linked Lists/013 Search Method.mp4 28.0 MB
04 Hash Tables/047 Refactoring Insert Method.mp4 27.7 MB
02 Linked Lists/008 Using Add To Head.mp4 27.7 MB
04 Hash Tables/052 Hash Table - Exercise Review.mp4 26.9 MB
03 Binary Search Trees/021 What is a Binary Search Tree_.mp4 26.1 MB
04 Hash Tables/049 Get Method.mp4 25.7 MB
04 Hash Tables/045 Insert Method.mp4 25.2 MB
05 Next Steps/055 Next Steps.mp4 24.7 MB
02 Linked Lists/007 Add To Head - part 2.mp4 24.6 MB
03 Binary Search Trees/033 Depth First Traversal - Post-Order.mp4 24.6 MB
03 Binary Search Trees/026 Contains Method.mp4 24.0 MB
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