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💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
This repository contains everything you need to become proficient in Scikit learn
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
Pandas Cookbook, published by Packt
Learn Algorithmic Trading, Published by Packt
Hands-On Reinforcement Learning with Python, published by Packt
40 Algorithms Every Programmer Should Know, published by Packt
Python Machine Learning - Second Edition, published by Packt
Python for Finance Cookbook, published by Packt
Extending Excel with Python and R, published by Packt
Machine Learning for Time-Series with Python.Published by Packt
PacktPublishing / Machine-Learning-for-Algorithmic-Trading-Second-Edition
Forked from stefan-jansen/machine-learning-for-tradingCode and resources for Machine Learning for Algorithmic Trading, 2nd edition.
A repository of demonstrations, from the twitter threads here: https://twitter.com/DrDanobi
Hands-On-Time-Series-Analysis-with-R
MyNorfolk Dashboard: A Quarto Dashboards Demo
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Case studies on model assessment, model selection and inference after model selection
This is an introductory workshop hosted by R-Ladies Philadelphia. Participants will sample how to use Observable Notebooks, Observable Plot, and combine Observable with R Quarto.
Record plots generated during an R session and replay as a gif!
Slides, recording and hands-on tutorial for the USGS Data Science webinar
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.
ArcticIce Studios nord, and northern inspired palettes from the Group of Seven.
Using Git and GitHub with R, Rstudio, and R Markdown