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90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

a_little_book_of_python_for_multivariate_analysis

A Little Book of Python for Multivariate Analysis

adx-in-a-day

Hands on experience on Azure Data Explorer and Kusto Query Languages(KQL)

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

awesome-embedded-and-iot-security

A curated list of awesome embedded and IoT security resources.

awesome-hacking-resources

A collection of hacking / penetration testing resources to make you better!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-vulnerability-research

🦄 A curated list of the awesome resources about the Vulnerability Research

azure-sentinel

Cloud-native SIEM for intelligent security analytics for your entire enterprise.

botsv1

cheatsheets

Official Matplotlib cheat sheets

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datatalksclub.github.io

The web page for DataTalks.Club

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

devops-roadmap

DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

getting-started-github-apps

github-actions-continuous-delivery-azure

github-actions-for-ci

github-move

github-slideshow

A robot powered training repository :robot:

github-upload

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hunting-queries-detection-rules

KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.

ims

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

introduction_to_statistical_learning_summary_python

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.