[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming
[ WebToolTip.com ] Udemy - Machine Learning Using Python Programming metadata, size 2830.16 MB, 146 files, category video, indexed at 2026-07-03.
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Infohash4b04682e96753357e602c43c536589886a306233
总大小2.8 GB
格式mp4
分类视频
文件数146
发掘时间（北京时间）2026-07-04 00:13:47
最后活跃（北京时间）2026-07-04 00:13:47
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Tag
文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| Get Bonus Downloads Here.url | url | 180 B |
| 1 - Introduction to Machine Learning English.vtt | vtt | 6.7 KB |
| 1 - Introduction to Machine Learning.mp4 | mp4 | 30.6 MB |
| 2 - 2 Features of Machine Learning English.vtt | vtt | 3.0 KB |
| 2 - 2 Features of Machine Learning.mp4 | mp4 | 17.3 MB |
| 3 - 3 Traditional Programming vs Machine Learning English.vtt | vtt | 7.2 KB |
| 3 - 3 Traditional Programming vs Machine Learning.mp4 | mp4 | 21.9 MB |
| 45 - 42 Understanding Support Vector Machines and Hyperplanes English.vtt | vtt | 13.5 KB |
| 45 - 42 Understanding Support Vector Machines and Hyperplanes.mp4 | mp4 | 52.6 MB |
| 46 - 43 Understanding the Kernels of SVM English.vtt | vtt | 3.0 KB |
| 46 - 43 Understanding the Kernels of SVM.mp4 | mp4 | 13.7 MB |
| 47 - 44 Implementing Support Vector Classifiers in Python English.vtt | vtt | 8.2 KB |
| 47 - 44 Implementing Support Vector Classifiers in Python.mp4 | mp4 | 52.3 MB |
| 48 - 45 Drawing the classification diagrams English.vtt | vtt | 7.3 KB |
| 48 - 45 Drawing the classification diagrams.mp4 | mp4 | 30.5 MB |
| 49 - 46 Introduction to KNearest Neighbors English.vtt | vtt | 3.8 KB |
| 49 - 46 Introduction to KNearest Neighbors.mp4 | mp4 | 16.2 MB |
| 50 - 47 Steps in KNN Classification and KNN Regression English.vtt | vtt | 8.1 KB |
| 50 - 47 Steps in KNN Classification and KNN Regression.mp4 | mp4 | 35.9 MB |
| 51 - 48 Implementing KNN Classification using sklearn English.vtt | vtt | 6.7 KB |
| 51 - 48 Implementing KNN Classification using sklearn.mp4 | mp4 | 53.6 MB |
| 52 - 49 Implementing KNN Regression Algorithm in Python I English.vtt | vtt | 5.0 KB |
| 52 - 49 Implementing KNN Regression Algorithm in Python I.mp4 | mp4 | 32.5 MB |
| 53 - 50 Implementing KNN Regression Algorithm in Python II English.vtt | vtt | 2.0 KB |
| 53 - 50 Implementing KNN Regression Algorithm in Python II.mp4 | mp4 | 18.3 MB |
| 54 - 51 Introduction to Decision Trees English.vtt | vtt | 925 B |
| 54 - 51 Introduction to Decision Trees.mp4 | mp4 | 1.9 MB |
| 55 - 52 Basic Tree Terminologies English.vtt | vtt | 18.8 KB |
| 55 - 52 Basic Tree Terminologies.mp4 | mp4 | 90.0 MB |
| 56 - 53 Example 1 for Decision Tree English.vtt | vtt | 3.4 KB |
| 56 - 53 Example 1 for Decision Tree.mp4 | mp4 | 14.3 MB |
| 57 - 531 Example 2 for Decision Tree English.vtt | vtt | 2.6 KB |
| 57 - 531 Example 2 for Decision Tree.mp4 | mp4 | 8.8 MB |
| 58 - 54 Implementation of Decision Tree Algorithm I English.vtt | vtt | 3.5 KB |
| 58 - 54 Implementation of Decision Tree Algorithm I.mp4 | mp4 | 25.5 MB |
| 59 - 55 Implementation of Decision Tree Algorithm II English.vtt | vtt | 2.7 KB |
| 59 - 55 Implementation of Decision Tree Algorithm II.mp4 | mp4 | 22.5 MB |
| 60 - 56 Ensemble Techniques Random Forest Classifier English.vtt | vtt | 8.9 KB |
| 60 - 56 Ensemble Techniques Random Forest Classifier.mp4 | mp4 | 41.4 MB |
| 61 - 57 Implementing Random Classifier in Python English.vtt | vtt | 7.2 KB |
| 61 - 57 Implementing Random Classifier in Python.mp4 | mp4 | 54.3 MB |
| 62 - 59 Naive Bayes Classifier English.vtt | vtt | 13.6 KB |
| 62 - 59 Naive Bayes Classifier.mp4 | mp4 | 61.4 MB |
| 63 - 60 Implementing Naive Bayes Classifier for wine dataset English.vtt | vtt | 16.9 KB |
| 63 - 60 Implementing Naive Bayes Classifier for wine dataset.mp4 | mp4 | 141.7 MB |
| 64 - Download all the notebooks and datasets here.html | html | 108 B |
| Decision Tree.ipynb | ipynb | 35.6 KB |
| KNN Regression.ipynb | ipynb | 35.8 KB |
| KNN.ipynb | ipynb | 4.5 KB |
| LinearRegression.ipynb | ipynb | 38.1 KB |
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