[ DevCourseWeb.com ] Udemy - An Introduction to Intrusion Detection Using ML And Python

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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
文件大小：364.51M
已经下载：140次
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收录时间：2024-01-01
最近下载：2025-05-20

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文件列表

  • ~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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