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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
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[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
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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

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001.Introduction/001. Introduction into the course.mp4 50.7 MB
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002.Detector composition/005. Particle identification.mp4 36.7 MB
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002.Detector composition/006. Tracking system.mp4 30.2 MB
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002.Detector composition/007. Ring Imaging Cherenkov detector.mp4 25.7 MB
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002.Detector composition/009. Muon system.mp4 32.9 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
02 Linked Lists/011 Remove Head.mp4 24.0 MB
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【影视】 เทคนิกการส่อนเรียนรู้Learning SketchUp Pro 2014 [Moflows]

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
6. Pandas/6. Remove Operations.mp4 123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
9. Cross Validation/1. Cross Validation.mp4 117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
9. Cross Validation/9. Text Data Example.mp4 94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
6. Pandas/5. Pandas Column Select.mp4 83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB

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【影视】 LinkedIn - Learning Docker 2022-12

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05 - 4. When Things Go Wrong/04 - Solution Fix a broken container.mp4 19.6 MB
01 - Introduction/01 - Get up and running quick with Docker.mp4 17.0 MB
06 - 5. Additional Docker Resources/01 - Docker best practices.mp4 16.6 MB
04 - 3. Using Docker/02 - Create a Docker container.mp4 16.3 MB
04 - 3. Using Docker/08 - Binding ports to your container.mp4 16.0 MB
03 - 2. Installing Docker/03 - Install Docker on Windows with Docker Desktop.mp4 15.7 MB
04 - 3. Using Docker/06 - Interact with your container.mp4 15.2 MB
06 - 5. Additional Docker Resources/03 - Level up even more with Kubernetes.mp4 15.1 MB
02 - 1. Docker Explained/01 - What is Docker.mp4 14.7 MB
02 - 1. Docker Explained/04 - The Docker difference.mp4 14.2 MB
04 - 3. Using Docker/07 - Stopping and removing the container.mp4 14.0 MB
03 - 2. Installing Docker/04 - Install Docker on Linux.mp4 12.2 MB
03 - 2. Installing Docker/02 - Install Docker on a Mac with Docker Desktop.mp4 12.2 MB
04 - 3. Using Docker/09 - Saving data from containers.mp4 11.9 MB
04 - 3. Using Docker/14 - Solution Starting NGINX.mp4 11.0 MB
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03 - 2. Installing Docker/01 - Docker Desktop.mp4 9.5 MB
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