SalisEduardo's starred repositories
Machine-Learning
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
My-Medium-Articles-Friendly-Links
Friendly link to all of my medium articles
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
best-practices-checklist
A list of awesome idiomatic code resources. Rust:crab:, Go, Ruby:gem:, Pony :horse:, Ocaml :camel:, Erlang and more
emsx_api_repository
EMSX API Code Samples
nonlinearTseries
Nonlinear time series analysis in R
tidytuesday
Official repo for the #tidytuesday project
nelson_siegel_svensson
Implementation of the Nelson-Siegel-Svensson interest rate curve model.
Binance-Triangular-Arbitrage
Binance Triangular Arbitrage will check for each triangular arbitrage combination based on a given currency and execute three consecutive trades that result in the specified profit margin.
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
QuantResearch
Quant Research
ML-University
Machine Learning Open Source University
coinmarketcapr
💰R package to get Cryptocurrencies Market Cap Prices from Coin Market Cap 💰
Covariance-Matrix-Shrinkage-for-Portfolio-Optimization
Comparison of using the Ledoit-Wolf and the Oracle Approximating Shrinkage Estimators to estimate singular covariance matrices in the context of portfolio optimzation.