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8.3 - Module 8- Decision Trees Part 3 .mp4 908.32 MB
1.3 - Module 1- Pandas Part 3 .mp4 865.49 MB
9.3 - Module 9- Ensembling Techniques Part 3.mp4 733.49 MB
13.3 - Module 13- Neural Networks - Deep Learning Part 3.mp4 719.27 MB
10.3 - Module 10- Dimension Reduction Part 3.mp4 687.87 MB
12.3 - Module 12- Stochastic Gradient Descent Part 3.mp4 655.04 MB
1.4 - Module 1 Pandas Part 4 .mp4 599.74 MB
8.2 - Module 8- Decision Trees Part 2 .mp4 579.08 MB
11.1 - Module 11- Clustering Part 1.mp4 560.71 MB
1.2 - Module 1- Pandas Part 2 .mp4 543.87 MB
2.3 - Module 2- K Nearest Neighbors (KNN) Part 3.mp4 518.97 MB
14.1 - Module 14- Recommendations Engine Part 1.mp4 497.59 MB
1.1 - Module 1- Pandas Part 1.mp4 491.41 MB
8.1 - Module 8- Decision Trees Part 1 .mp4 460.28 MB
9.4 - Module 9- Ensembling Techniques Part 4.mp4 443.79 MB
Case Study- Detecting Malicious URLs.mp4 442.12 MB
12.1 - Module 12- Stochastic Gradient Descent Part 1.mp4 438.68 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 407.25 MB
9.2 - Module 9- Ensembling Techniques Part 2.mp4 403 MB
2.2 - Module 2- K Nearest Neighbors (KNN) Part 2.mp4 397.97 MB
5.1 - Module 5- Natural Language Processing Part 1.mp4 397.74 MB
10.2 - Module 10- Dimension Reduction Part 2.mp4 395.26 MB
14.2 - Module 14- Recommendations Engine Part 2.mp4 386.04 MB
5.4 - Module 5- Natural Language Processing Part 4.mp4 381 MB
12.2 - Module 12- Stochastic Gradient Descent Part 2 .mp4 377.58 MB
11.2 - Module 11- Clustering Part 2.mp4 366.92 MB
7.2 - Module 7- Advanced Scikit Learn Part 2 .mp4 363.44 MB
10.1 - Module 10- Dimension Reduction Part 1.mp4 353.8 MB
4.4 - Module 4- Logistic Regression Part 4 .mp4 344.08 MB
13.1 - Module 13- Neural Networks - Deep Learning Part 1.mp4 336.32 MB
11.3 - Module 11- Clustering Part 3.mp4 330.33 MB
13.2 - Module 13- Neural Networks - Deep Learning Part 2.mp4 314.41 MB
3.3 - Module 3- Model Evaluation and Linear Regression Part 3.mp4 313.49 MB
2.4 - Module 2- K Nearest Neighbors (KNN) Part 4.mp4 308.01 MB
6.4 - Module 6- Naive Bayes Classification Part 4.mp4 306.43 MB
5.2 - Module 5- Natural Language Processing Part 2.mp4 305.26 MB
3.1 - Module 3- Model Evaluation and Linear Regression Part 1.mp4 294.54 MB
6.2 - Module 6- Naive Bayes Classification Part 2.mp4 293.36 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 283.91 MB
6.3 - Module 6- Naive Bayes Classification Part 3.mp4 250.79 MB
6.1 - Module 6- Naive Bayes Classification Part 1.mp4 212.39 MB
4.2 - Module 4- Logistic Regression Part 2.mp4 199.92 MB
1 - Lab Setup and Installation.mp4 118.31 MB
data.zip 99.72 MB
1 - Data Science and Machine Learning for Infosec- COURSE INTRODUCTION.MP4 15.67 MB
code.zip 8.03 MB
Discuss.FreeTutorials.Us.html 165.68 KB
FreeCoursesOnline.Me.html 108.3 KB
FreeTutorials.Eu.html 102.23 KB
urls file.rar 5.14 KB
[TGx]Downloaded from torrentgalaxy.org.txt 524 B
Torrent Downloaded From GloDls.to.txt 84 B
Presented By SaM.txt 33 B
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