cazeho Goto Github PK

advanced-data-science-with-ibm

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.

ai-columbia---assignments

My solutions to the four projects on AI and machine learning in Columbia University's "MicroMasters® Program in Artificial Intelligence"

amar

Automatic Malware Analysis Report

an-introduction-to-applied-bioinformatics

Interactive lessons in bioinformatics.

awesome-cybersecurity-blueteam

:computer:🛡️ A curated collection of awesome resources, tools, and other shiny things for cybersecurity blue teams.

awesome-incident-response

A curated list of tools for incident response

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

aws-malware-lab

Creation of a laboratory for malware analysis in AWS

betterscrap

bioinformatics-coffee-hour

Short lessons from FAS Informatics coffee hour

blue-team-notes

You didn't think I'd go and leave the blue team out, right?

blueteam-tools

Tools and Techniques for Blue Team / Incident Response

burp-suite-certified-practitioner-exam-study

Burp Suite Certified Practitioner Exam Study

cazeho

cazeho.github.io

code-server-manager

cognitiveclass.ai-data-analysis-with-python

These are the notebooks from cognitive class's Data Analysis with Python. Take the free course at :https://cognitiveclass.ai/courses/data-analysis-python/

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crackmapexec

A swiss army knife for pentesting networks

cs50ai

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.

ctf

ctfs-writeups

Writeups for various CTFs competitions

cuckoo3

Cuckoo 3 is a Python 3 open source automated malware analysis system.

cyberlab

data-engineering-toolbox

Lecture notes, lab notes, and links to helpful resources to pass Google Certification Exam for Professional Data Engineer.

data-engineering-with-google-cloud-professional-certificate

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.

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

digital-forensics-lab

dirtypipe_checker