cazeho Goto Github PK
Type: User
Bio: IT Student
Location: Sophia Antipolis, France
Type: User
Bio: IT Student
Location: Sophia Antipolis, France
As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.
My solutions to the four projects on AI and machine learning in Columbia University's "MicroMasters® Program in Artificial Intelligence"
Automatic Malware Analysis Report
Interactive lessons in bioinformatics.
:computer:🛡️ A curated collection of awesome resources, tools, and other shiny things for cybersecurity blue teams.
A curated list of tools for incident response
:octocat: Machine Learning for Cyber Security
Creation of a laboratory for malware analysis in AWS
Short lessons from FAS Informatics coffee hour
You didn't think I'd go and leave the blue team out, right?
Tools and Techniques for Blue Team / Incident Response
Burp Suite Certified Practitioner Exam Study
These are the notebooks from cognitive class's Data Analysis with Python. Take the free course at :https://cognitiveclass.ai/courses/data-analysis-python/
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
A swiss army knife for pentesting networks
Computer science 50 artificial inteligence is a course by Harvard University. This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
Writeups for various CTFs competitions
Cuckoo 3 is a Python 3 open source automated malware analysis system.
Lecture notes, lab notes, and links to helpful resources to pass Google Certification Exam for Professional Data Engineer.
This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.