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[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python
大小 6.79 GB
文件数 223
Info Hash: 4105824974F98A3C8A55EF524A209615BA9B11BF
收录时间 2026-01-04 07:43:34
更新时间 2026-01-04 07:43:34
文件列表 (223)
1. Introduction/1. What Does the Course Cover.mp4
54.4 MB
1. Introduction/1. What Does the Course Cover.vtt
2.97 KB
1. Introduction/2. How to Succeed in This Course.html
2.22 KB
1. Introduction/3. Project Files and Resources.html
1.71 KB
10. Unsupervised Learning Clustering/1. Clustering.mp4
125.68 MB
10. Unsupervised Learning Clustering/1. Clustering.vtt
18.73 KB
10. Unsupervised Learning Clustering/2. k_Means Clustering.mp4
57.72 MB
10. Unsupervised Learning Clustering/2. k_Means Clustering.vtt
9.98 KB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4
143.85 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.vtt
24.36 KB
11. Deep Learning/2. Neural Network Architecture.mp4
22.38 MB
11. Deep Learning/2. Neural Network Architecture.vtt
7.22 KB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4
144.96 MB
11. Deep Learning/3. Motivational Example - Project MNIST.vtt
23.52 KB
11. Deep Learning/4. Binary Classification Problem.mp4
72.11 MB
11. Deep Learning/4. Binary Classification Problem.vtt
11.47 KB
11. Deep Learning/5. Natural Language Processing - Binary Classification.mp4
76.05 MB
11. Deep Learning/5. Natural Language Processing - Binary Classification.vtt
11.74 KB
12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.mp4
13.75 MB
12. Appendix A1 Foundations of Deep Learning/1. Introduction to Neural Networks.vtt
2.54 KB
12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.mp4
54.96 MB
12. Appendix A1 Foundations of Deep Learning/10. Gradient Based Optimization.vtt
12.65 KB
12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.mp4
18.67 MB
12. Appendix A1 Foundations of Deep Learning/11. Getting Started with Neural Network and Deep Learning Libraries.vtt
5.13 KB
12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.mp4
37.47 MB
12. Appendix A1 Foundations of Deep Learning/12. Categories of Machine Learning.vtt
11.22 KB
12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.mp4
70.06 MB
12. Appendix A1 Foundations of Deep Learning/13. Over and Under Fitting.vtt
16.68 KB
12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.mp4
27.44 MB
12. Appendix A1 Foundations of Deep Learning/14. Machine Learning Workflow.vtt
5.31 KB
12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.mp4
20.85 MB
12. Appendix A1 Foundations of Deep Learning/2. Differences between Classical Programming and Machine Learning.vtt
4.87 KB
12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.mp4
77.24 MB
12. Appendix A1 Foundations of Deep Learning/3. Learning Representations.vtt
11.5 KB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4
155.61 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.vtt
23.08 KB
12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.mp4
40.61 MB
12. Appendix A1 Foundations of Deep Learning/5. Learning Neural Networks.vtt
11.43 KB
12. Appendix A1 Foundations of Deep Learning/6. Why Now.mp4
9.07 MB
12. Appendix A1 Foundations of Deep Learning/6. Why Now.vtt
3.02 KB
12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.mp4
14.16 MB
12. Appendix A1 Foundations of Deep Learning/7. Building Block Introduction.vtt
5.1 KB
12. Appendix A1 Foundations of Deep Learning/8. Tensors.mp4
16.88 MB
12. Appendix A1 Foundations of Deep Learning/8. Tensors.vtt
4.33 KB
12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.mp4
88.79 MB
12. Appendix A1 Foundations of Deep Learning/9. Tensor Operations.vtt
18.87 KB
13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.mp4
63.66 MB
13. Computer Vision and Convolutional Neural Network (CNN)/1. Outline.vtt
4.12 KB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4
124.88 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.vtt
15.2 KB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4
128.54 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.vtt
22.39 KB
13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.mp4
11.21 MB
13. Computer Vision and Convolutional Neural Network (CNN)/12. Loading Previously Trained Model.vtt
1.59 KB
13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.mp4
79.75 MB
13. Computer Vision and Convolutional Neural Network (CNN)/13. Model Performance Comparison.vtt
10.67 KB
13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.mp4
28.48 MB
13. Computer Vision and Convolutional Neural Network (CNN)/14. Data Augmentation.vtt
3.29 KB
13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.mp4
97 MB
13. Computer Vision and Convolutional Neural Network (CNN)/15. Transfer Learning.vtt
12.12 KB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4
111.14 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.vtt
12.93 KB
13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.mp4
35.41 MB
13. Computer Vision and Convolutional Neural Network (CNN)/17. State of the Art Tools.vtt
5.98 KB
13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.mp4
43.81 MB
13. Computer Vision and Convolutional Neural Network (CNN)/2. Neural Network Revision.vtt
9.2 KB
13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.mp4
66.21 MB
13. Computer Vision and Convolutional Neural Network (CNN)/3. Motivational Example.vtt
8.68 KB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4
141.94 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.vtt
15.37 KB
13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.mp4
30.03 MB
13. Computer Vision and Convolutional Neural Network (CNN)/5. Understanding CNN.vtt
6.73 KB
13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.mp4
29.13 MB
13. Computer Vision and Convolutional Neural Network (CNN)/6. Layer - Input.vtt
6.22 KB
13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.mp4
84.39 MB
13. Computer Vision and Convolutional Neural Network (CNN)/7. Layer - Filter.vtt
18.46 KB
13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.mp4
32.32 MB
13. Computer Vision and Convolutional Neural Network (CNN)/8. Activation Function.vtt
6.86 KB
13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.mp4
88.13 MB
13. Computer Vision and Convolutional Neural Network (CNN)/9. Pooling, Flatten, Dense.vtt
12.51 KB
2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.mp4
38.42 MB
2. Getting Started with Anaconda/1. Installing Applications and Creating Environment.vtt
5.99 KB
2. Getting Started with Anaconda/2. Hello World.mp4
51.22 MB
2. Getting Started with Anaconda/2. Hello World.vtt
12.5 KB
2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.mp4
89.84 MB
2. Getting Started with Anaconda/3. Iris Project 1 Working with Error Messages.vtt
14.45 KB
2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.mp4
64.56 MB
2. Getting Started with Anaconda/4. Iris Project 2 Reading CSV Data into Memory.vtt
10.04 KB
2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.mp4
55.87 MB
2. Getting Started with Anaconda/5. Iris Project 3 Loading data from Seaborn.vtt
9.92 KB
2. Getting Started with Anaconda/6. Iris Project 4 Visualization.mp4
93.49 MB
2. Getting Started with Anaconda/6. Iris Project 4 Visualization.vtt
11.52 KB
3. Regression/1. Scikit-Learn.mp4
48.45 MB
3. Regression/1. Scikit-Learn.vtt
9.97 KB
3. Regression/10. Multiple Regression 2.mp4
91.15 MB
3. Regression/10. Multiple Regression 2.vtt
13.81 KB
3. Regression/11. Regularized Regression.mp4
44.35 MB
3. Regression/11. Regularized Regression.vtt
7.79 KB
3. Regression/12. Polynomial Regression.mp4
110.78 MB
3. Regression/12. Polynomial Regression.vtt
19.69 KB
3. Regression/13. Dealing with Non-linear Relationships.mp4
62.69 MB
3. Regression/13. Dealing with Non-linear Relationships.vtt
10.27 KB
3. Regression/14. Feature Importance.mp4
36.25 MB
3. Regression/14. Feature Importance.vtt
5.41 KB
3. Regression/15. Data Preprocessing.mp4
135.55 MB
3. Regression/15. Data Preprocessing.vtt
25.48 KB
3. Regression/16. Variance-Bias Trade Off.mp4
68.7 MB
3. Regression/16. Variance-Bias Trade Off.vtt
13.71 KB
3. Regression/17. Learning Curve.mp4
56.37 MB
3. Regression/17. Learning Curve.vtt
10.24 KB
3. Regression/18. Cross Validation.mp4
48.04 MB
3. Regression/18. Cross Validation.vtt
9.71 KB
3. Regression/19. CV Illustration.mp4
127.23 MB
3. Regression/19. CV Illustration.vtt
19.86 KB
3. Regression/2. EDA.mp4
151.67 MB
3. Regression/2. EDA.vtt
22.43 KB
3. Regression/3. Correlation Analysis and Feature Selection.mp4
22.58 MB
3. Regression/3. Correlation Analysis and Feature Selection.vtt
9.81 KB
3. Regression/3.1 0305.zip.zip
2.13 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4
105.19 MB
3. Regression/4. Correlation Analysis and Feature Selection.vtt
13.94 KB
3. Regression/5. Linear Regression with Scikit-Learn.mp4
76.98 MB
3. Regression/5. Linear Regression with Scikit-Learn.vtt
14.94 KB
3. Regression/6. Five Steps Machine Learning Process.mp4
77.27 MB
3. Regression/6. Five Steps Machine Learning Process.vtt
9.17 KB
3. Regression/7. Robust Regression.mp4
119.06 MB
3. Regression/7. Robust Regression.vtt
20.1 KB
3. Regression/8. Evaluate Regression Model Performance.mp4
99.66 MB
3. Regression/8. Evaluate Regression Model Performance.vtt
17.88 KB
3. Regression/9. Multiple Regression 1.mp4
125.51 MB
3. Regression/9. Multiple Regression 1.vtt
22.46 KB
4. Classification/1. Logistic Regression.mp4
119.59 MB
4. Classification/1. Logistic Regression.vtt
23.48 KB
4. Classification/10. Precision Recall Tradeoff.mp4
102.01 MB
4. Classification/10. Precision Recall Tradeoff.vtt
20.77 KB
4. Classification/11. Altering the Precision Recall Tradeoff.mp4
20.93 MB
4. Classification/11. Altering the Precision Recall Tradeoff.vtt
3.5 KB
4. Classification/12. ROC.mp4
52.22 MB
4. Classification/12. ROC.vtt
7.65 KB
4. Classification/2. Introduction to Classification.mp4
42.12 MB
4. Classification/2. Introduction to Classification.vtt
5.74 KB
4. Classification/3. Understanding MNIST.mp4
108.98 MB
4. Classification/3. Understanding MNIST.vtt
16.38 KB
4. Classification/4. SGD.mp4
57.3 MB
4. Classification/4. SGD.vtt
10.57 KB
4. Classification/5. Performance Measure and Stratified k-Fold.mp4
51.54 MB
4. Classification/5. Performance Measure and Stratified k-Fold.vtt
8.12 KB
4. Classification/6. Confusion Matrix.mp4
54.71 MB
4. Classification/6. Confusion Matrix.vtt
11.05 KB
4. Classification/7. Precision.mp4
23.59 MB
4. Classification/7. Precision.vtt
4.08 KB
4. Classification/8. Recall.mp4
19.64 MB
4. Classification/8. Recall.vtt
3.65 KB
4. Classification/9. f1.mp4
12.11 MB
4. Classification/9. f1.vtt
2.28 KB
5. Support Vector Machine (SVM)/1. Support Vector Machine (SVM) Concepts.mp4
37.87 MB
5. Support Vector Machine (SVM)/1. Support Vector Machine (SVM) Concepts.vtt
8.02 KB
5. Support Vector Machine (SVM)/2. Linear SVM Classification.mp4
80.94 MB
5. Support Vector Machine (SVM)/2. Linear SVM Classification.vtt
12.11 KB
5. Support Vector Machine (SVM)/3. Polynomial Kernel.mp4
34.96 MB
5. Support Vector Machine (SVM)/3. Polynomial Kernel.vtt
5.46 KB
5. Support Vector Machine (SVM)/4. Radial Basis Function.mp4
70.13 MB
5. Support Vector Machine (SVM)/4. Radial Basis Function.vtt
8.75 KB
5. Support Vector Machine (SVM)/5. Support Vector Regression.mp4
59.68 MB
5. Support Vector Machine (SVM)/5. Support Vector Regression.vtt
9.25 KB
6. Tree/1. Introduction to Decision Tree.mp4
43.86 MB
6. Tree/1. Introduction to Decision Tree.vtt
7.9 KB
6. Tree/2. Training and Visualizing a Decision Tree.mp4
51.4 MB
6. Tree/2. Training and Visualizing a Decision Tree.vtt
6.98 KB
6. Tree/3. Visualizing Boundary.mp4
54.72 MB
6. Tree/3. Visualizing Boundary.vtt
8.82 KB
6. Tree/4. Tree Regression, Regularization and Over Fitting.mp4
40.05 MB
6. Tree/4. Tree Regression, Regularization and Over Fitting.vtt
5.28 KB
6. Tree/5. End to End Modeling.mp4
35.62 MB
6. Tree/5. End to End Modeling.vtt
5.34 KB
6. Tree/6. Project HR.mp4
177.83 MB
6. Tree/6. Project HR.vtt
28.1 KB
6. Tree/7. Project HR with Google Colab.mp4
66.57 MB
6. Tree/7. Project HR with Google Colab.vtt
11.44 KB
7. Ensemble Machine Learning/1. Ensemble Learning Methods Introduction.mp4
37.17 MB
7. Ensemble Machine Learning/1. Ensemble Learning Methods Introduction.vtt
5.56 KB
7. Ensemble Machine Learning/10. Ensemble of ensembles Part 2.mp4
37.85 MB
7. Ensemble Machine Learning/10. Ensemble of ensembles Part 2.vtt
5.71 KB
7. Ensemble Machine Learning/2. Bagging.mp4
165.44 MB
7. Ensemble Machine Learning/2. Bagging.vtt
21.1 KB
7. Ensemble Machine Learning/3. Random Forests and Extra-Trees.mp4
80.28 MB
7. Ensemble Machine Learning/3. Random Forests and Extra-Trees.vtt
11.08 KB
7. Ensemble Machine Learning/4. AdaBoost.mp4
49.85 MB
7. Ensemble Machine Learning/4. AdaBoost.vtt
7.89 KB
7. Ensemble Machine Learning/5. Gradient Boosting Machine.mp4
21.96 MB
7. Ensemble Machine Learning/5. Gradient Boosting Machine.vtt
3.58 KB
7. Ensemble Machine Learning/6. XGBoost Installation.mp4
22.26 MB
7. Ensemble Machine Learning/6. XGBoost Installation.vtt
2.81 KB
7. Ensemble Machine Learning/7. XGBoost.mp4
35.05 MB
7. Ensemble Machine Learning/7. XGBoost.vtt
5.11 KB
7. Ensemble Machine Learning/8. Project HR - Human Resources Analytics.mp4
59.21 MB
7. Ensemble Machine Learning/8. Project HR - Human Resources Analytics.vtt
9.5 KB
7. Ensemble Machine Learning/9. Ensemble of Ensembles Part 1.mp4
46.4 MB
7. Ensemble Machine Learning/9. Ensemble of Ensembles Part 1.vtt
7.31 KB
8. k-Nearest Neighbours (kNN)/1. kNN Introduction.mp4
62.95 MB
8. k-Nearest Neighbours (kNN)/1. kNN Introduction.vtt
11.02 KB
8. k-Nearest Neighbours (kNN)/2. Project Cancer Detection.mp4
75.73 MB
8. k-Nearest Neighbours (kNN)/2. Project Cancer Detection.vtt
9.98 KB
8. k-Nearest Neighbours (kNN)/3. Addition Materials.html
335 B
8. k-Nearest Neighbours (kNN)/4. Project Cancer Detection Part 1.mp4
49.4 MB
8. k-Nearest Neighbours (kNN)/4. Project Cancer Detection Part 1.vtt
22.07 KB
8. k-Nearest Neighbours (kNN)/4.1 0805.zip.zip
40.76 KB
9. Unsupervised Learning Dimensionality Reduction/1. Dimensionality Reduction Concept.mp4
31.37 MB
9. Unsupervised Learning Dimensionality Reduction/1. Dimensionality Reduction Concept.vtt
5.28 KB
9. Unsupervised Learning Dimensionality Reduction/2. PCA Introduction.mp4
49.03 MB
9. Unsupervised Learning Dimensionality Reduction/2. PCA Introduction.vtt
8.19 KB
9. Unsupervised Learning Dimensionality Reduction/3. Project Wine.mp4
47.87 MB
9. Unsupervised Learning Dimensionality Reduction/3. Project Wine.vtt
6.98 KB
9. Unsupervised Learning Dimensionality Reduction/4. Kernel PCA.mp4
36.61 MB
9. Unsupervised Learning Dimensionality Reduction/4. Kernel PCA.vtt
6.05 KB
9. Unsupervised Learning Dimensionality Reduction/5. Kernel PCA Demo.mp4
21.44 MB
9. Unsupervised Learning Dimensionality Reduction/5. Kernel PCA Demo.vtt
3.65 KB
9. Unsupervised Learning Dimensionality Reduction/6. LDA vs PCA.mp4
34.15 MB
9. Unsupervised Learning Dimensionality Reduction/6. LDA vs PCA.vtt
5.85 KB
9. Unsupervised Learning Dimensionality Reduction/7. Project Abalone.mp4
30.74 MB
9. Unsupervised Learning Dimensionality Reduction/7. Project Abalone.vtt
4.33 KB
[CourseClub.Me].url
48 B
[DesireCourse.Net].url
51 B
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