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种子名称： [FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO]
文件类型： 视频
文件数目： 49个文件
文件大小： 20.37 GB
收录时间： 2018-11-20 12:03
已经下载： 3次
资源热度： 307
最近下载： 2024-5-31 03:18

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[FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO].torrent

10.1 - Module 10- Dimension Reduction Part 1.mp4353.8MB

10.2 - Module 10- Dimension Reduction Part 2.mp4395.26MB

10.3 - Module 10- Dimension Reduction Part 3.mp4687.87MB

11.1 - Module 11- Clustering Part 1.mp4560.71MB

11.2 - Module 11- Clustering Part 2.mp4366.92MB

11.3 - Module 11- Clustering Part 3.mp4330.33MB

1.1 - Module 1- Pandas Part 1.mp4491.41MB

12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4438.68MB

12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4377.58MB

12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4655.04MB

1.2 - Module 1- Pandas Part 2 .mp4543.87MB

13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4336.32MB

13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4314.41MB

13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4719.27MB

1.3 - Module 1- Pandas Part 3 .mp4865.49MB

14.1 - Module 14- Recommendations Engine Part 1.mp4497.59MB

14.2 - Module 14- Recommendations Engine Part 2.mp4386.04MB

1.4 - Module 1 Pandas Part 4 .mp4599.74MB

1 - Lab Setup and Installation.mp4118.31MB

2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4407.25MB

2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4397.97MB

2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4518.97MB

2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4308.01MB

3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4294.54MB

3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4424.5MB

3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4313.49MB

3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4422.8MB

4.1 - Module 4- Logistic Regression Part 1 .mp4283.91MB

4.2 - Module 4- Logistic Regression Part 2.mp4199.92MB

4.3 - Module 4- Logistic Regression Part 3.mp4289.5MB

4.4 - Module 4- Logistic Regression Part 4 .mp4344.08MB

5.1 - Module 5- Natural Language Processing Part 1.mp4397.74MB

5.2 - Module 5- Natural Language Processing Part 2.mp4305.26MB

5.3 - Module 5- Natural Language Processing Part 3.mp4290.9MB

5.4 - Module 5- Natural Language Processing Part 4.mp4381MB

6.1 - Module 6- Naive Bayes Classification Part 1.mp4212.39MB

6.2 - Module 6- Naive Bayes Classification Part 2.mp4293.36MB

6.3 - Module 6- Naive Bayes Classification Part 3.mp4250.79MB

6.4 - Module 6- Naive Bayes Classification Part 4.mp4306.43MB

7.1 - Module 7- Advanced Scikit Learn Part 1.mp4416.5MB

7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4363.44MB

8.1 - Module 8- Decision Trees Part 1 .mp4460.28MB

8.2 - Module 8- Decision Trees Part 2 .mp4579.08MB

8.3 - Module 8- Decision Trees Part 3 .mp4908.32MB

9.1 - Module 9- Ensembling Techniques Part 1.mp4432.3MB

9.2 - Module 9- Ensembling Techniques Part 2.mp4403MB

9.3 - Module 9- Ensembling Techniques Part 3.mp4733.49MB

9.4 - Module 9- Ensembling Techniques Part 4.mp4443.79MB

Case Study- Detecting Malicious URLs.mp4442.12MB