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seiyu32 / next-learn
Forked from vercel/next-learnLearn Next.js Starter Code
The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.
google it support professional certificate
Learn the fundamentals of cloud computing
Hands-On Data Preprocessing in Python, published by Packt
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Sources codes for: Mastering Python for Finance, Second Edition
Learn Algorithmic Trading, Published by Packt
Python Algorithmic Trading Cookbook, published by Packt
Python for Finance Cookbook, published by Packt
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
1
Updated Jun 3, 2021
The course material for our React Hooks workshop
The Web framework for perfectionists with deadlines.
Python training for business analysts and traders
A library for training and deploying machine learning models on Amazon SageMaker
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Studio for kdb+ / Rapid execution environment for q
Hands-On Machine Learning for Algorithmic Trading, published by Packt
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Python implementations of the Boruta all-relevant feature selection method.
Reference implementation of the Jupyter Notebook format
A Very Good Command-Line Interface for Dart created by Very Good Ventures 🦄
Starter files, final projects, and FAQ for my Complete JavaScript course
Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP implementations)
Multivariate imputation and matrix completion algorithms implemented in Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A curated list of data engineering tools for software developers
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
