[DesireCourse.Net] Udemy - Machine Learning, incl. Deep Learning, with R

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文件数目：298个文件
文件大小：7.27 GB
收录时间：2019-10-05
访问次数：4
相关内容：DesireCourse Udemy Machine Learning incl Deep with

文件meta

28. Convolutional Neural Networks/4. Convolutional Neural Networks Lab (Coding).mp4
189.77 MB
6. Regularization/2. Regularization Lab.mp4
189.57 MB
18. Hierarchical Clustering/3. Hierarchical Clustering Lab.mp4
189.25 MB
5. Model Preparation and Evaluation/6. Resampling Techniques Lab.mp4
188.6 MB
17. kmeans/2. kmeans Lab.mp4
159.88 MB
31. Recurrent Neural Networks/3. LSTM Univariate, Multistep Timeseries Prediction (Coding).mp4
146.57 MB
31. Recurrent Neural Networks/5. LSTM Multivariate, Multistep Timeseries Prediction (Coding).mp4
141.53 MB
24. ----- Reinforcement Learning -----/6. Upper Confidence Bound Lab (Coding 12).mp4
138.26 MB
4. Regression/10. Multivariate Regression Lab.mp4
135.7 MB
8. Classification Basics/7. ROC Curve Lab 33 (ROC, AUC, Cost Function).mp4
135.48 MB
27. Deep Learning Classification/6. Multi-Label Classification Lab (Coding 23).mp4
128.81 MB
21. Principal Component Analysis (PCA)/2. PCA Lab.mp4
126.99 MB
1. Introduction/6. Teaser Lab.mp4
126.51 MB
4. Regression/12. Multivariate Regression Solution.mp4
122.64 MB
27. Deep Learning Classification/2. Binary Classification Lab (Coding 12).mp4
121.03 MB
9. Decision Trees/3. Decision Trees Lab (Coding).mp4
121.02 MB
26. Deep Learning Regression/2. Multi-Target Regression Lab (Coding 12).mp4
119.06 MB
8. Classification Basics/5. ROC Curve Lab 13 (Data Prep, Modeling).mp4
118.06 MB
4. Regression/8. Polynomial Regression Lab.mp4
117.62 MB
5. Model Preparation and Evaluation/4. Train Validation Test Split Lab.mp4
117.4 MB
15. Apriori/4. Apriori Lab (Coding 22).mp4
113.44 MB
19. Dbscan/2. Dbscan Lab.mp4
111.43 MB
10. Random Forests/4. Random Forest Lab (Coding 12).mp4
109.85 MB
27. Deep Learning Classification/5. Multi-Label Classification Lab (Coding 13).mp4
109.73 MB
10. Random Forests/5. Random Forest Lab (Coding 22).mp4
107.1 MB
17. kmeans/4. kmeans Solution.mp4
106.36 MB
29. Autoencoders/3. Autoencoders Lab (Coding).mp4
105.45 MB
2. R Refresher/5. Data Manipulation Lab.mp4
104.59 MB
2. R Refresher/7. Data Reshaping Lab.mp4
103.14 MB
2. R Refresher/1. R and RStudio Installation.mp4
102.32 MB
15. Apriori/6. Apriori Solution.mp4
100.14 MB
30. Transfer Learning and Pretrained Models/3. Transfer Learning and Pretrained Models Lab (Coding).mp4
99.41 MB
26. Deep Learning Regression/3. Multi-Target Regression Lab (Coding 22).mp4
98.84 MB
11. Logistic Regression/3. Logistic Regression Lab (Coding 12).mp4
91.93 MB
23. Factor Analysis/4. Factor Analysis Lab (Coding 22).mp4
91.7 MB
4. Regression/4. Univariate Regression Lab.mp4
88.4 MB
21. Principal Component Analysis (PCA)/4. PCA Solution.mp4
80.96 MB
12. Support Vector Machines/3. Support Vector Machines Lab (Coding 12).mp4
78.82 MB
23. Factor Analysis/3. Factor Analysis Lab (Coding 12).mp4
78.66 MB
15. Apriori/3. Apriori Lab (Coding 12).mp4
73.35 MB
25. ----- Deep Learning -----/11. Python and Keras Installation.mp4
72.66 MB
4. Regression/6. Univariate Regression Solution.mp4
71.32 MB
8. Classification Basics/6. ROC Curve Lab 23 (Confusion Matrix and ROC).mp4
70.79 MB
22. t-SNE/3. t-SNE Lab (Mnist).mp4
70.37 MB
27. Deep Learning Classification/3. Binary Classification Lab (Coding 22).mp4
67.87 MB
24. ----- Reinforcement Learning -----/7. Upper Confidence Bound Lab (Coding 22).mp4
67.11 MB
2. R Refresher/3. Rmarkdown Lab.mp4
65.81 MB
11. Logistic Regression/4. Logistic Regression Lab (Coding 22).mp4
63.11 MB
27. Deep Learning Classification/7. Multi-Label Classification Lab (Coding 33).mp4
62.74 MB
28. Convolutional Neural Networks/6. Semantic Segmentation 101.mp4
57.94 MB