# Hands-on-Machine-Learning-for-Cyber-Security **Repository Path**: xygone/Hands-on-Machine-Learning-for-Cyber-Security ## Basic Information - **Project Name**: Hands-on-Machine-Learning-for-Cyber-Security - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-06-14 - **Last Updated**: 2025-06-14 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Hands-On Machine Learning for Cybersecurity Hands-On Machine Learning for Cybersecurity This is the code repository for [Hands-On Machine Learning for Cybersecurity](https://www.packtpub.com/big-data-and-business-intelligence/hands-machine-learning-cybersecurity?utm_source=github&utm_medium=repository&utm_campaign=9781788992282), published by Packt. **Safeguard your system by making your machines intelligent using the Python ecosystem** ## What is this book about? Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. This book covers the following exciting features: * Use machine learning algorithms with complex datasets to implement cybersecurity concepts * Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems * Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA * Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes * Use TensorFlow in the cybersecurity domain and implement real-world examples If you feel this book is for you, get your [copy](https://www.amazon.com/dp/1788992288) today! https://www.packtpub.com/ ## Instructions and Navigations All of the code is organized into folders. The code will look like the following: ``` def url_has_exe(url): if url.find('.exe')!=-1: return 1 else : return 0 ``` **Following is what you need for this book:** This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book With the following software and hardware list you can run all code files present in the book (Chapter 1-15). ### Software and Hardware List | Chapter | Software required | OS required | | -------- | ------------------------------------| -----------------------------------| | 1-11 | Python 2.x/3.x | Windows, Mac OS X, and Linux (Any) | We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](https://www.packtpub.com/sites/default/files/downloads/9781788992282_ColorImages.pdf). ### Related products * Hands-On Cybersecurity with Blockchain [[Packt]](https://www.packtpub.com/networking-and-servers/hands-cybersecurity-blockchain?utm_source=github&utm_medium=repository&utm_campaign=9781788990189) [[Amazon]](https://www.amazon.com/dp/1788990188) * Mastering Machine Learning Algorithms [[Packt]](https://www.packtpub.com/big-data-and-business-intelligence/mastering-machine-learning-algorithms?utm_source=github&utm_medium=repository&utm_campaign=9781788621113) [[Amazon]](https://www.amazon.com/dp/1788621115) ## Get to Know the Authors **Soma Halder** is the data science lead of the big data analytics group at Reliance Jio Infocomm Ltd, one of India's largest telecom companies. She specializes in analytics, big data, cybersecurity, and machine learning. She has approximately 10 years of machine learning experience, especially in the field of cybersecurity. She studied at the University of Alabama, Birmingham where she did her master's with an emphasis on Knowledge discovery and Data Mining and computer forensics. She has worked for Visa, Salesforce, and AT&T. She has also worked for start-ups, both in India and the US (E8 Security, Headway ai, and Norah ai). She has several conference publications to her name in the field of cybersecurity, machine learning, and deep learning. **Sinan Ozdemir** is a data scientist, start-up founder, and educator living in the San Francisco Bay Area. He studied pure mathematics at the Johns Hopkins University. He then spent several years conducting lectures on data science there, before founding his own start-up, Kylie ai, which uses artificial intelligence to clone brand personalities and automate customer service communications. He is also the author of Principles of Data Science, available through Packt. ## Other books by the authors * [Principles of Data Science](https://www.packtpub.com/big-data-and-business-intelligence/principles-data-science?utm_source=github&utm_medium=repository&utm_campaign=9781785887918) * [Feature Engineering Made Easy](https://www.packtpub.com/big-data-and-business-intelligence/feature-engineering-made-easy?utm_source=github&utm_medium=repository&utm_campaign=9781787287600) ### Suggestions and Feedback [Click here](https://docs.google.com/forms/d/e/1FAIpQLSdy7dATC6QmEL81FIUuymZ0Wy9vH1jHkvpY57OiMeKGqib_Ow/viewform) if you have any feedback or suggestions. ### Download a free PDF If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

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