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The age of intelligent machines is here! We are now seeing Machine Learning disrupting every technological field including computer security. As more and more security products use Machine Learning, it is important as Pentesters and Security Researchers to understand how to make and break this technology!

Course Curriculum

Introduction
Course Introduction 00:00:00
Lab Setup and Installation 00:00:00
Pandas
Module 1: Pandas Part 1 00:00:00
Module 1: Pandas Part 2 00:00:00
Module 1: Pandas Part 3 00:00:00
Module 1: Pandas Part 4 00:00:00
Module 2: K Nearest Neighbors (KNN)
Module 2: K Nearest Neighbors (KNN) Part 1 00:00:00
Module 2: K Nearest Neighbors (KNN) Part 2 00:00:00
Module 2: K Nearest Neighbors (KNN) Part 3 00:00:00
Module 2: K Nearest Neighbors (KNN) Part 4 00:00:00
Module 3: Model Evaluation and Linear Regression
Module 3: Model Evaluation and Linear Regression Part 1 00:00:00
Module 3: Model Evaluation and Linear Regression Part 2 00:00:00
Module 3: Model Evaluation and Linear Regression Part 3 00:00:00
Module 3: Model Evaluation and Linear Regression Part 4 00:00:00
Module 4: Logistic Regression
Module 4: Logistic Regression Part 1 00:00:00
Module 4: Logistic Regression Part 2 00:00:00
Module 4: Logistic Regression Part 3 00:00:00
Module 4: Logistic Regression Part 4 00:00:00
Module 5: Natural Language Processing
Module 5: Natural Language Processing Part 1 00:00:00
Module 5: Natural Language Processing Part 2 00:00:00
Module 5: Natural Language Processing Part 3 00:00:00
Module 5: Natural Language Processing Part 4 00:00:00
Module 6: Naive Bayes Classification
Module 6: Naive Bayes Classification Part 1 00:00:00
Module 6: Naive Bayes Classification Part 2 00:00:00
Module 6: Naive Bayes Classification Part 3 00:00:00
Module 6: Naive Bayes Classification Part 4 00:00:00
Module 7: Advanced Scikit Learn
Module 7: Advanced Scikit Learn Part 1 00:00:00
Module 7: Advanced Scikit Learn Part 2 00:00:00
Module 8: Decision Trees
Module 8: Decision Trees Part 1 00:00:00
Module 8: Decision Trees Part 2 00:00:00
Module 8: Decision Trees Part 3 00:00:00
Module 9: Ensembling Techniques
Module 9: Ensembling Techniques Part 1 00:00:00
Module 9: Ensembling Techniques Part 2 00:00:00
Module 9: Ensembling Techniques Part 3 00:00:00
Module 9: Ensembling Techniques Part 4 00:00:00
Module 10: Dimension Reduction
Module 10: Dimension Reduction Part 1 00:00:00
Module 10: Dimension Reduction Part 2 00:00:00
Module 10: Dimension Reduction Part 3 00:00:00
Module 10: Dimension Reduction Part 3 00:00:00
Module 11: Clustering
Module 11: Clustering Part 1 00:00:00
Module 11: Clustering Part 2 00:00:00
Module 11: Clustering Part 3 00:00:00
Module 12: Stochastic Gradient Descent
Module 12: Stochastic Gradient Descent Part 1 00:00:00
Module 12: Stochastic Gradient Descent Part 2 00:00:00
Module 12: Stochastic Gradient Descent Part 3 00:00:00
Module 13: Neural Networks - Deep Learning
Module 13: Neural Networks – Deep Learning Part 1 00:00:00
Module 13: Neural Networks – Deep Learning Part 2 00:00:00
Module 13: Neural Networks – Deep Learning Part 3 00:00:00
Module 14: Recommendations Engine
Module 14: Recommendations Engine Part 1 00:00:00
Module 14: Recommendations Engine Part 2 00:00:00
Case Study: Detecting Malicious URLs 00:00:00
Code and Sample Data 00:00:00
TAKE THIS COURSE
  • FREE
  • 10 Days
3 STUDENTS ENROLLED

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