Build 3 Network Apps with Python and Machine Learning
Build 3 Network Apps with Python and Machine Learning
Learn Python from SCRATCH! Build 3 Network Apps with Python, Pandas, Nmap and Machine Learning. Full Python Apps inside.
Product Brand: Udemy
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Udemy Coupon Code for Build 3 Network Apps with Python and Machine Learning Course. Learn Python from SCRATCH! Build 3 Network Apps with Python, Pandas, Nmap and Machine Learning. Full Python Apps inside.
Created by Mihai Catalin Teodosiu | 10 hours on-demand video course
Network Apps with Python Course Overview
Build 3 Network Apps with Python and Machine Learning
Python programming and Machine Learning course aimed at Network Professionals – Network Engineers, Network Admins and Security Engineers, having little or no experience in Python coding, network automation and ML, but a great desire to start learning Python from scratch and implement new technologies in their network environments.
This 100% hands-on training takes you from “Hello World!” to building 3 network applications with Python, Pandas, Matplotlib, Nmap and Machine Learning in no time. You will learn Python, Pandas and Machine Learning concepts which are relevant to the networking industry, and then you’re going to build 3 network applications.
What you’ll learn
- You are going to learn Python from scratch, in an organized, easy-to-understand, hands-on fashion.
- You are going to learn to read, write and manipulate dataframes and files using the Pandas library.
- You will learn how to scan network devices and services using Nmap and the Nmap Scripting Engine (NSE).
- You are going to build, test and download a Network Vulnerability detection application with Python.
- You are going to build, test and download a Machine Learning app to analyze network vulnerabilities.
- You are going to build, test and download a Machine Learning app to analyze network traffic captures.
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- Network Quality Assurance Engineers, Network Analysts, Network Security Engineers.
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- Any other kind of IT or Networking geeks are welcome, as well.
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Taught by Mihai Catalin Teodosiu
