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

• [FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO]
• 1 - Data Science and Machine Learning for Infosec- COURSE INTRODUCTION.MP4 15.7 MB
• 1 - Lab Setup and Installation.mp4 118.3 MB
• 1.1 - Module 1- Pandas Part 1.mp4 491.4 MB
• 1.2 - Module 1- Pandas Part 2 .mp4 543.9 MB
• 1.3 - Module 1- Pandas Part 3 .mp4 865.5 MB
• 1.4 - Module 1 Pandas Part 4 .mp4 599.7 MB
• 10.1 - Module 10- Dimension Reduction Part 1.mp4 353.8 MB
• 10.2 - Module 10- Dimension Reduction Part 2.mp4 395.3 MB
• 10.3 - Module 10- Dimension Reduction Part 3.mp4 687.9 MB
• 11.1 - Module 11- Clustering Part 1.mp4 560.7 MB
• 11.2 - Module 11- Clustering Part 2.mp4 366.9 MB
• 11.3 - Module 11- Clustering Part 3.mp4 330.3 MB
• 12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4 438.7 MB
• 12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4 377.6 MB
• 12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4 655 MB
• 13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4 336.3 MB
• 13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4 314.4 MB
• 13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4 719.3 MB
• 14.1 - Module 14- Recommendations Engine Part 1.mp4 497.6 MB
• 14.2 - Module 14- Recommendations Engine Part 2.mp4 386 MB
• 2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4 407.2 MB
• 2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4 398 MB
• 2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4 519 MB
• 2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4 308 MB
• 3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4 294.5 MB
• 3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4 424.5 MB
• 3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4 313.5 MB
• 3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4 422.8 MB
• 4.1 - Module 4- Logistic Regression Part 1 .mp4 283.9 MB
• 4.2 - Module 4- Logistic Regression Part 2.mp4 199.9 MB
• 4.3 - Module 4- Logistic Regression Part 3.mp4 289.5 MB
• 4.4 - Module 4- Logistic Regression Part 4 .mp4 344.1 MB
• 5.1 - Module 5- Natural Language Processing Part 1.mp4 397.7 MB
• 5.2 - Module 5- Natural Language Processing Part 2.mp4 305.3 MB
• 5.3 - Module 5- Natural Language Processing Part 3.mp4 290.9 MB
• 5.4 - Module 5- Natural Language Processing Part 4.mp4 381 MB
• 6.1 - Module 6- Naive Bayes Classification Part 1.mp4 212.4 MB
• 6.2 - Module 6- Naive Bayes Classification Part 2.mp4 293.4 MB
• 6.3 - Module 6- Naive Bayes Classification Part 3.mp4 250.8 MB
• 6.4 - Module 6- Naive Bayes Classification Part 4.mp4 306.4 MB
• 7.1 - Module 7- Advanced Scikit Learn Part 1.mp4 416.5 MB
• 7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4 363.4 MB
• 8.1 - Module 8- Decision Trees Part 1 .mp4 460.3 MB
• 8.2 - Module 8- Decision Trees Part 2 .mp4 579.1 MB
• 8.3 - Module 8- Decision Trees Part 3 .mp4 908.3 MB
• 9.1 - Module 9- Ensembling Techniques Part 1.mp4 432.3 MB
• 9.2 - Module 9- Ensembling Techniques Part 2.mp4 403 MB
• 9.3 - Module 9- Ensembling Techniques Part 3.mp4 733.5 MB
• 9.4 - Module 9- Ensembling Techniques Part 4.mp4 443.8 MB
• Case Study- Detecting Malicious URLs.mp4 442.1 MB
• code.zip 8 MB
• data.zip 99.7 MB
• Discuss.FreeTutorials.Us.html 165.7 KB
• FreeCoursesOnline.Me.html 108.3 KB
• FreeTutorials.Eu.html 102.2 KB
• Presented By SaM.txt 33 B
• urls file.rar 5.1 KB

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