[FreeCoursesOnline.Me] PentesterAcademy - Data Science and Machine Learning for Infosec - [FCO]
    
    File List
    
        
            
                
                    - 8.3 - Module 8- Decision Trees Part 3 .mp4  908.3 MB
 
                
                    - 1.3 - Module 1- Pandas Part 3 .mp4  865.5 MB
 
                
                    - 9.3 - Module 9- Ensembling Techniques Part 3.mp4  733.5 MB
 
                
                    - 13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4  719.3 MB
 
                
                    - 10.3 - Module 10- Dimension Reduction Part 3.mp4  687.9 MB
 
                
                    - 12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4  655.0 MB
 
                
                    - 1.4 - Module 1 Pandas Part 4 .mp4  599.7 MB
 
                
                    - 8.2 - Module 8- Decision Trees Part 2 .mp4  579.1 MB
 
                
                    - 11.1 - Module 11- Clustering Part 1.mp4  560.7 MB
 
                
                    - 1.2 - Module 1- Pandas Part 2 .mp4  543.9 MB
 
                
                    - 2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4  519.0 MB
 
                
                    - 14.1 - Module 14- Recommendations Engine Part 1.mp4  497.6 MB
 
                
                    - 1.1 - Module 1- Pandas Part 1.mp4  491.4 MB
 
                
                    - 8.1 - Module 8- Decision Trees Part 1 .mp4  460.3 MB
 
                
                    - 9.4 - Module 9- Ensembling Techniques Part 4.mp4  443.8 MB
 
                
                    - Case Study- Detecting Malicious URLs.mp4  442.1 MB
 
                
                    - 12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4  438.7 MB
 
                
                    - 9.1 - Module 9- Ensembling Techniques Part 1.mp4  432.3 MB
 
                
                    - 3.2 - Module 3- Model Evaluation and Linear Regression Part 2.mp4  424.5 MB
 
                
                    - 3.4 - Module 3- Model Evaluation and Linear Regression Part 4.mp4  422.8 MB
 
                
                    - 7.1 - Module 7- Advanced Scikit Learn Part 1.mp4  416.5 MB
 
                
                    - 2.1 - Module 2- K Nearest Neighbors (KNN) Part 1 .mp4  407.2 MB
 
                
                    - 9.2 - Module 9- Ensembling Techniques Part 2.mp4  403.0 MB
 
                
                    - 2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4  398.0 MB
 
                
                    - 5.1 - Module 5- Natural Language Processing Part 1.mp4  397.7 MB
 
                
                    - 10.2 - Module 10- Dimension Reduction Part 2.mp4  395.3 MB
 
                
                    - 14.2 - Module 14- Recommendations Engine Part 2.mp4  386.0 MB
 
                
                    - 5.4 - Module 5- Natural Language Processing Part 4.mp4  381.0 MB
 
                
                    - 12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4  377.6 MB
 
                
                    - 11.2 - Module 11- Clustering Part 2.mp4  366.9 MB
 
                
                    - 7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4  363.4 MB
 
                
                    - 10.1 - Module 10- Dimension Reduction Part 1.mp4  353.8 MB
 
                
                    - 4.4 - Module 4- Logistic Regression Part 4 .mp4  344.1 MB
 
                
                    - 13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4  336.3 MB
 
                
                    - 11.3 - Module 11- Clustering Part 3.mp4  330.3 MB
 
                
                    - 13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4  314.4 MB
 
                
                    - 3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4  313.5 MB
 
                
                    - 2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4  308.0 MB
 
                
                    - 6.4 - Module 6- Naive Bayes Classification Part 4.mp4  306.4 MB
 
                
                    - 5.2 - Module 5- Natural Language Processing Part 2.mp4  305.3 MB
 
                
                    - 3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4  294.5 MB
 
                
                    - 6.2 - Module 6- Naive Bayes Classification Part 2.mp4  293.4 MB
 
                
                    - 5.3 - Module 5- Natural Language Processing Part 3.mp4  290.9 MB
 
                
                    - 4.3 - Module 4- Logistic Regression Part 3.mp4  289.5 MB
 
                
                    - 4.1 - Module 4- Logistic Regression Part 1 .mp4  283.9 MB
 
                
                    - 6.3 - Module 6- Naive Bayes Classification Part 3.mp4  250.8 MB
 
                
                    - 6.1 - Module 6- Naive Bayes Classification Part 1.mp4  212.4 MB
 
                
                    - 4.2 - Module 4- Logistic Regression Part 2.mp4  199.9 MB
 
                
                    - 1 - Lab Setup and Installation.mp4  118.3 MB
 
                
                    - data.zip  99.7 MB
 
                
                    - 1 - Data Science and Machine Learning for Infosec- COURSE INTRODUCTION.MP4  15.7 MB
 
                
                    - code.zip  8.0 MB
 
                
                    - Discuss.FreeTutorials.Us.html  165.7 KB
 
                
                    - FreeCoursesOnline.Me.html  108.3 KB
 
                
                    - FreeTutorials.Eu.html  102.2 KB
 
                
                    - urls file.rar  5.1 KB
 
                
                    - [TGx]Downloaded from torrentgalaxy.org.txt  524 bytes
 
                
                    - Torrent Downloaded From GloDls.to.txt  84 bytes
 
                
                    - Presented By SaM.txt  33 bytes
 
                
            
        
     
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