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[ DevCourseWeb.com ] Udemy - An Introduction to Intrusion Detection Using ML And Python
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种子哈希:
5efd4fa000fdb1e36c8f5465e4b208e13a3b8e77
文档大小:
382.2 MB
文档个数:
39
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下载次数:
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下载速度:
极快
收录时间:
2022-06-19
最近下载:
2025-06-21
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文档列表
~Get Your Files Here !/2. Practical Section/6. Features Selection Using Gini Index.mp4
48.9 MB
~Get Your Files Here !/2. Practical Section/4. Scaling Dataset The Wrong Way.mp4
40.7 MB
~Get Your Files Here !/2. Practical Section/3. Checking The Dataset Balancing Status.mp4
39.5 MB
~Get Your Files Here !/2. Practical Section/2. Encoding Dataset Using Label Encoder.mp4
36.5 MB
~Get Your Files Here !/2. Practical Section/1. Loading And Exploring The Dataset.mp4
36.4 MB
~Get Your Files Here !/1. The theoretical Concepts/5. How to build an intrusion detection Model.mp4
28.5 MB
~Get Your Files Here !/1. The theoretical Concepts/3. What is intrusion detection.mp4
18.7 MB
~Get Your Files Here !/1. The theoretical Concepts/10. Model Prediction Types.mp4
17.9 MB
~Get Your Files Here !/2. Practical Section/5. Scaling Dataset Best Practice.mp4
16.0 MB
~Get Your Files Here !/1. The theoretical Concepts/7. Features Encoding.mp4
15.3 MB
~Get Your Files Here !/1. The theoretical Concepts/6. Data Preparation.mp4
14.5 MB
~Get Your Files Here !/1. The theoretical Concepts/11. Performance Evaluation Metrics.mp4
13.5 MB
~Get Your Files Here !/1. The theoretical Concepts/8. Features Scaling.mp4
13.0 MB
~Get Your Files Here !/1. The theoretical Concepts/4. How applied machine learning can be used for intrusion detection.mp4
12.8 MB
~Get Your Files Here !/1. The theoretical Concepts/9. Features Selection.mp4
9.4 MB
~Get Your Files Here !/1. The theoretical Concepts/2. Prerequisites of the course.mp4
9.3 MB
~Get Your Files Here !/1. The theoretical Concepts/1. Course overview.mp4
8.3 MB
~Get Your Files Here !/2. Practical Section/1.2 IDS Dataset.csv
2.8 MB
~Get Your Files Here !/2. Practical Section/1.1 Course source code.ipynb
88.1 kB
~Get Your Files Here !/2. Practical Section/6. Features Selection Using Gini Index.srt
8.7 kB
~Get Your Files Here !/2. Practical Section/4. Scaling Dataset The Wrong Way.srt
8.2 kB
~Get Your Files Here !/2. Practical Section/3. Checking The Dataset Balancing Status.srt
7.6 kB
~Get Your Files Here !/2. Practical Section/2. Encoding Dataset Using Label Encoder.srt
6.1 kB
~Get Your Files Here !/1. The theoretical Concepts/5. How to build an intrusion detection Model.srt
5.5 kB
~Get Your Files Here !/1. The theoretical Concepts/10. Model Prediction Types.srt
5.4 kB
~Get Your Files Here !/2. Practical Section/1. Loading And Exploring The Dataset.srt
4.7 kB
~Get Your Files Here !/1. The theoretical Concepts/11. Performance Evaluation Metrics.srt
4.7 kB
~Get Your Files Here !/1. The theoretical Concepts/3. What is intrusion detection.srt
4.1 kB
~Get Your Files Here !/1. The theoretical Concepts/4. How applied machine learning can be used for intrusion detection.srt
3.5 kB
~Get Your Files Here !/2. Practical Section/5. Scaling Dataset Best Practice.srt
2.6 kB
~Get Your Files Here !/1. The theoretical Concepts/1. Course overview.srt
2.4 kB
~Get Your Files Here !/1. The theoretical Concepts/6. Data Preparation.srt
2.4 kB
~Get Your Files Here !/1. The theoretical Concepts/7. Features Encoding.srt
2.2 kB
~Get Your Files Here !/1. The theoretical Concepts/9. Features Selection.srt
2.0 kB
~Get Your Files Here !/1. The theoretical Concepts/8. Features Scaling.srt
1.9 kB
~Get Your Files Here !/1. The theoretical Concepts/2. Prerequisites of the course.srt
1.8 kB
~Get Your Files Here !/Bonus Resources.txt
386 Bytes
~Get Your Files Here !/2. Practical Section/7. Build IDS Model Using The UNSW_NB15 Dataset.html
213 Bytes
Get Bonus Downloads Here.url
182 Bytes
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