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【影视】 Unsupervised.S01E07.The.Magic.of.Science.720p.WEB-DL.DD5.1.H.264-CtrlHD.mkv

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【影视】 Udemy - Unsupervised Deep Learning in Python - TUTSEM

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01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB
02 Principal Components Analysis/004 What does PCA do.mp4 12.1 MB
02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 15.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
04 Autoencoders/012 Autoencoders.mp4 6.1 MB
04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 40.4 MB
04 Autoencoders/016 Testing our Autoencoder Theano.mp4 11.9 MB

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【影视】 [freecourse.pro]-Data Science in Python Unsupervised Learning (2024-5)

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Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/36. DEMO DBSCAN and Silhouette Score in Python.mp4 147.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/4. SOLUTION Hierarchical Clustering.mp4 137.5 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/3. SOLUTION K-Means Clustering.mp4 118.3 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/23. SOLUTION Selecting the Best K-Means Model.mp4 117.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/42. DEMO Label Unseen Data.mp4 109.6 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/10. PROJECT Recommending Restaurants/3. SOLUTION TruncatedSVD.mp4 103.2 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/29. DEMO Cluster Maps in Python.mp4 97.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/7. Anomaly Detection/10. SOLUTION Isolation Forests.mp4 95.3 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/12. DEMO Interpreting PCA.mp4 86.6 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/12. Final Project/2. SOLUTION Data Prep & EDA.mp4 86.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/21. DEMO Selecting the Best Model.mp4 85.0 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/19. SOLUTION Tuning a K-Means Model.mp4 82.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/25. Dendrograms in Python.mp4 79.1 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/17. T-SNE.mp4 78.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/6. PROJECT Clustering Clients/6. SOLUTION Compare, Recommend and Predict.mp4 71.8 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/22. DEMO Dimensionality Reduction and Clustering.mp4 64.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/13. DEMO Plotting Inertia in Python.mp4 61.5 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/5. Clustering/6. Visualizing K-Means Clustering.mp4 59.4 MB
Udemy - Data Science in Python Unsupervised Learning (2024-5)/8. Dimensionality Reduction/14. SOLUTION Interpreting PCA.mp4 59.3 MB
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【影视】 [ TutGee.com ] Udemy - Machine Learning for BI, PART 4 - Unsupervised Learning

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~Get Your Files Here !/03 - Clustering & Segmentation/006 CASE STUDY K-Means.mp4 92.5 MB
~Get Your Files Here !/05 - Outlier Detection/005 CASE STUDY Cross-Sectional Outlier.mp4 57.5 MB
~Get Your Files Here !/04 - Association Mining & Basket Analysis/008 CASE STUDY Apriori.mp4 55.0 MB
~Get Your Files Here !/04 - Association Mining & Basket Analysis/010 CASE STUDY Markov Chains.mp4 30.0 MB
~Get Your Files Here !/01 - Getting Started/001 Course Structure & Outline.mp4 29.9 MB
~Get Your Files Here !/04 - Association Mining & Basket Analysis/009 Markov Chains.mp4 26.0 MB
~Get Your Files Here !/04 - Association Mining & Basket Analysis/004 Basket Analysis Examples.mp4 24.7 MB
~Get Your Files Here !/05 - Outlier Detection/004 Cross-Sectional Outlier Example.mp4 22.4 MB
~Get Your Files Here !/04 - Association Mining & Basket Analysis/006 Infrequent Itemsets.mp4 19.7 MB
~Get Your Files Here !/01 - Getting Started/004 Machine-Learning-Part-4-Unsupervised.pdf 17.9 MB
~Get Your Files Here !/03 - Clustering & Segmentation/003 Intro to K-Means.mp4 15.9 MB
~Get Your Files Here !/06 - Dimensionality Reduction/005 Interpreting Components.mp4 15.8 MB
~Get Your Files Here !/05 - Outlier Detection/007 Time-Series Outlier Example.mp4 15.4 MB
~Get Your Files Here !/06 - Dimensionality Reduction/002 Dimensionality Reduction Basics.mp4 15.1 MB
~Get Your Files Here !/06 - Dimensionality Reduction/004 PCA Example.mp4 14.9 MB
~Get Your Files Here !/06 - Dimensionality Reduction/006 Scree Plots.mp4 14.6 MB
~Get Your Files Here !/03 - Clustering & Segmentation/007 Intro to Hierarchical Clustering.mp4 13.3 MB
~Get Your Files Here !/01 - Getting Started/005 Setting Expectations.mp4 12.1 MB
~Get Your Files Here !/05 - Outlier Detection/003 Cross-Sectional Outliers.mp4 11.7 MB
~Get Your Files Here !/03 - Clustering & Segmentation/004 WSS & Elbow Plots.mp4 11.2 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

收录时间:2023-12-31 文档个数:101 文档大小:2.9 GB 最近下载:2025-05-14 人气:1123 磁力链接

~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4 103.6 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4 100.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4 92.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4 85.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4 83.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 81.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4 79.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4 77.3 MB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4 77.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4 75.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4 74.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4 74.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4 70.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4 68.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4 68.0 MB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4 66.7 MB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 64.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4 60.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4 59.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4 59.5 MB

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【影视】 Unsupervised S01E10 Youngbloods HDTV XviD-FQM[ettv]

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

收录时间:2022-01-18 文档个数:80 文档大小:924.3 MB 最近下载:2025-05-13 人气:813 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】 [DesireCourse.Com] Udemy - Unsupervised Deep Learning in Python

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12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB

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【影视】 Unsupervised

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