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Udemy - Data Science Methods and Techniques [2025] (7.2024)
大小 7.06 GB
文件数 82
Info Hash: 00F760B86CBBBB163DA912939CDEDB21E94116D4
收录时间 2026-01-03 00:53:38
更新时间 2026-01-03 00:53:38
文件列表 (82)
1. Introduction/1. Introduction.mp4
197.28 MB
1. Introduction/1. Introduction.srt
23.49 KB
1. Introduction/2. Setup of the Anaconda Cloud Notebook.mp4
108.45 MB
1. Introduction/2. Setup of the Anaconda Cloud Notebook.srt
12.69 KB
1. Introduction/3. Download and installation of the Anaconda Distribution (optional).mp4
158.62 MB
1. Introduction/3. Download and installation of the Anaconda Distribution (optional).srt
20.55 KB
1. Introduction/4. The Conda Package Management System (optional).mp4
268.34 MB
1. Introduction/4. The Conda Package Management System (optional).srt
28.3 KB
2. Regression, Prediction and Supervised Learning/1. Regression, Prediction, and Supervised Learning. Section Overview (I).mp4
121.78 MB
2. Regression, Prediction and Supervised Learning/1. Regression, Prediction, and Supervised Learning. Section Overview (I).srt
12.28 KB
2. Regression, Prediction and Supervised Learning/10. Regression Regularization, Lasso and Ridge models (X).mp4
520.41 MB
2. Regression, Prediction and Supervised Learning/10. Regression Regularization, Lasso and Ridge models (X).srt
57.24 KB
2. Regression, Prediction and Supervised Learning/10.1 insurance.csv
69.83 KB
2. Regression, Prediction and Supervised Learning/10.2 Regularization_Ridge_Lasso_Regression.py
8.85 KB
2. Regression, Prediction and Supervised Learning/11. Decision Tree Regression models (XI).mp4
476.1 MB
2. Regression, Prediction and Supervised Learning/11. Decision Tree Regression models (XI).srt
51.67 KB
2. Regression, Prediction and Supervised Learning/11.1 DecisionTree_regression.py
5.81 KB
2. Regression, Prediction and Supervised Learning/11.2 insurance.csv
59.83 KB
2. Regression, Prediction and Supervised Learning/12. Random Forest Regression (XII).mp4
410.58 MB
2. Regression, Prediction and Supervised Learning/12. Random Forest Regression (XII).srt
70.86 KB
2. Regression, Prediction and Supervised Learning/12.1 insurance.csv
69.83 KB
2. Regression, Prediction and Supervised Learning/12.2 Random_Forest_regression.py
24.77 KB
2. Regression, Prediction and Supervised Learning/13. Voting Regression (XIII).mp4
244.89 MB
2. Regression, Prediction and Supervised Learning/13. Voting Regression (XIII).srt
47.13 KB
2. Regression, Prediction and Supervised Learning/13.1 insurance.csv
59.83 KB
2. Regression, Prediction and Supervised Learning/13.2 Voting_Regression_Ensemble.py
8.13 KB
2. Regression, Prediction and Supervised Learning/2. The Traditional Simple Regression Model (II).mp4
173.57 MB
2. Regression, Prediction and Supervised Learning/2. The Traditional Simple Regression Model (II).srt
23.58 KB
2. Regression, Prediction and Supervised Learning/3. The Traditional Simple Regression Model (III).mp4
317.52 MB
2. Regression, Prediction and Supervised Learning/3. The Traditional Simple Regression Model (III).srt
32.61 KB
2. Regression, Prediction and Supervised Learning/3.1 Regression_III.py
557 B
2. Regression, Prediction and Supervised Learning/4. Some practical and useful modelling concepts (IV).mp4
114.68 MB
2. Regression, Prediction and Supervised Learning/4. Some practical and useful modelling concepts (IV).srt
14.99 KB
2. Regression, Prediction and Supervised Learning/5. Some practical and useful modelling concepts (V).mp4
120.23 MB
2. Regression, Prediction and Supervised Learning/5. Some practical and useful modelling concepts (V).srt
14.81 KB
2. Regression, Prediction and Supervised Learning/6. Linear Multiple Regression model (VI).mp4
338.27 MB
2. Regression, Prediction and Supervised Learning/6. Linear Multiple Regression model (VI).srt
43.77 KB
2. Regression, Prediction and Supervised Learning/6.1 DiaB.csv
104.96 KB
2. Regression, Prediction and Supervised Learning/6.2 Multiple_Linear_Regression.py
2.21 KB
2. Regression, Prediction and Supervised Learning/7. Linear Multiple Regression model (VII).mp4
233.02 MB
2. Regression, Prediction and Supervised Learning/7. Linear Multiple Regression model (VII).srt
22.98 KB
2. Regression, Prediction and Supervised Learning/7.1 DiaB.csv
94.96 KB
2. Regression, Prediction and Supervised Learning/7.2 Linear_Multiple_Regression_Forward_Selection.py
2.34 KB
2. Regression, Prediction and Supervised Learning/8. Multivariate Polynomial Multiple Regression models (VIII).mp4
99.67 MB
2. Regression, Prediction and Supervised Learning/8. Multivariate Polynomial Multiple Regression models (VIII).srt
10.83 KB
2. Regression, Prediction and Supervised Learning/9. Multivariate Polynomial Multiple Regression models (VIIII).mp4
408.81 MB
2. Regression, Prediction and Supervised Learning/9. Multivariate Polynomial Multiple Regression models (VIIII).srt
45.84 KB
2. Regression, Prediction and Supervised Learning/9.1 DiaB.csv
94.96 KB
2. Regression, Prediction and Supervised Learning/9.2 Mult_poly_regr.py
5.62 KB
3. Classification and Supervised Learning/1. Classification and Supervised Learning, overview.mp4
118.28 MB
3. Classification and Supervised Learning/1. Classification and Supervised Learning, overview.srt
19.57 KB
3. Classification and Supervised Learning/2. Logistic Regression Classifier.mp4
379.64 MB
3. Classification and Supervised Learning/2. Logistic Regression Classifier.srt
42.46 KB
3. Classification and Supervised Learning/2.1 iris.csv
3.34 KB
3. Classification and Supervised Learning/2.2 Logistic_Regression_Classifier.py
4.37 KB
3. Classification and Supervised Learning/3. The Naive Bayes Classifier.mp4
328.28 MB
3. Classification and Supervised Learning/3. The Naive Bayes Classifier.srt
40.43 KB
3. Classification and Supervised Learning/3.1 iris.csv
13.34 KB
3. Classification and Supervised Learning/3.2 Naive_Bayes_Gaussian.py
5.63 KB
3. Classification and Supervised Learning/4. The Decision Tree Classifier.mp4
549.08 MB
3. Classification and Supervised Learning/4. The Decision Tree Classifier.srt
62.92 KB
3. Classification and Supervised Learning/4.1 Decision_Tree_Classification.py
9.47 KB
3. Classification and Supervised Learning/4.2 insurance.csv
59.83 KB
3. Classification and Supervised Learning/5. The Random Forest Classifier.mp4
331.52 MB
3. Classification and Supervised Learning/5. The Random Forest Classifier.srt
37.32 KB
3. Classification and Supervised Learning/5.1 iris.csv
3.34 KB
3. Classification and Supervised Learning/5.2 Random_Forest_Classifier.py
16.64 KB
3. Classification and Supervised Learning/6. The Voting Classifier.mp4
203.93 MB
3. Classification and Supervised Learning/6. The Voting Classifier.srt
20.56 KB
3. Classification and Supervised Learning/6.1 Voting Classifier.py
5.82 KB
4. Cluster Analysis and Unsupervised Learning/1. Cluster Analysis, an overview.mp4
202.21 MB
4. Cluster Analysis and Unsupervised Learning/1. Cluster Analysis, an overview.srt
25.81 KB
4. Cluster Analysis and Unsupervised Learning/2. K-Means Cluster Analysis, and an introduction to auto-updated K-means algorithms.mp4
253.7 MB
4. Cluster Analysis and Unsupervised Learning/2. K-Means Cluster Analysis, and an introduction to auto-updated K-means algorithms.srt
28.18 KB
4. Cluster Analysis and Unsupervised Learning/2.1 K_means_part_1.py
2.67 KB
4. Cluster Analysis and Unsupervised Learning/2.2 K_means_part_2.py
5.55 KB
4. Cluster Analysis and Unsupervised Learning/3. Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4
334.38 MB
4. Cluster Analysis and Unsupervised Learning/3. Density-Based Spatial Clustering of Applications with Noise (DBSCAN).srt
38 KB
4. Cluster Analysis and Unsupervised Learning/3.1 DBscan.py
8.12 KB
4. Cluster Analysis and Unsupervised Learning/4. Four Hierarchical Clustering algorithms.mp4
210.64 MB
4. Cluster Analysis and Unsupervised Learning/4. Four Hierarchical Clustering algorithms.srt
22.57 KB
4. Cluster Analysis and Unsupervised Learning/4.1 agglo_clustering.py
5.32 KB

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