Data science interview questions and answers
- data-science
- machine-learning
- interview-questions
- data-science-interviews
Repository Index
47,133 repositories indexed
169–192 of 512 · Most stars
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
- kubernetes
- ckad
- certification
- ckad-exercises
:page_facing_up: A curated list of awesome Angular resources
A curated list of tools for incident response
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
- artificial-intelligence
- collections
- ai
- assistant-chat-bots
A curated list of practical financial machine learning tools and applications.
An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
- awesome
- awesome-list
- list
- youtubers
:bathtub: Clean Code concepts and tools adapted for .NET
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Toturials coming with the "data science roadmap" picture.
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
- equinox
- cqrs
- architecture
- asp-net-core
HumHub is an Open Source Enterprise Social Network. Easy to install, intuitive to use and extendable with countless freely available modules.
- social-network
- php
- awesome
- humhub
Principles of writing consistent, idiomatic CSS.
A collection of awesome security hardening guides, tools and other resources
- awesome-list
- security
- security-hardening
- security-tools
A curated list of awesome R packages, frameworks and software.
The repository host gives no description.
common data analysis and machine learning tasks using python
- data-science
- python
- python-tutorial
- data-scientists
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Algorithms & Data structures in C++.
The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.
This is the new home of the original DDD Sample app (previously hosted at sf.net)..
R for data science: a book
- book
- bookdown
- data-science
- r