mdancho84 / quantitative_stock_analysis_tutorial
The stock analysis R file for computing stock returns and correlations for the S&P500 stock listing.
☆33Updated 7 years ago
Related projects: ⓘ
- Hands-On-Time-Series-Analysis-with-R☆37Updated 5 years ago
- Forecasting the S&P 500 ten years into the future using a variety of time series models☆19Updated 4 years ago
- Data and code from Applied Predictive Modeling (2013)☆35Updated last year
- Repository for CRAN package BatchGetSymbols☆19Updated 2 years ago
- Shiny-based interactive time series forecasting☆19Updated 7 years ago
- ☆41Updated 6 years ago
- The Tidymodels Extension for GARCH models☆33Updated 2 years ago
- A Credit Risk Scoring Modeling and Validation Package☆66Updated 5 years ago
- Teaching materials for ETC3580☆23Updated 5 years ago
- Fully automated GDP forecasting with R/shiny☆40Updated 9 years ago
- This repo contains the files related to the Coursera Data Science Specialization☆30Updated 7 years ago
- GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business…☆23Updated 3 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆41Updated 8 months ago
- R scripts to generate orders for use in customer and product simulation, data mining, and machine learning.☆12Updated 7 years ago
- R & Stats Books and Websites that I think are good.☆10Updated 2 years ago
- Makes difficult operations easy. Includes functions for shorthand, type conversion, data wrangling, and workflow.☆20Updated 8 months ago
- DataScienceGO 2018 - Machine Learning Workshop☆13Updated 5 years ago
- Advanced A/B Testing Workshop☆17Updated 3 years ago
- R-shiny application for forecasting☆11Updated 4 years ago
- An R Interface to the Quantopian Zipline Financial Backtester☆25Updated 6 years ago
- Forecasting workshop for ACEMS 2018☆37Updated 6 years ago
- Material for the 2-day block course "Deep Learning with Actuarial Applications in R"☆31Updated 2 years ago
- How to run Python ML models in R☆16Updated 3 years ago
- Review of time series using regression and neural network methods☆33Updated 5 years ago
- Shiny app for IFRS provisioning and estimated loss report☆10Updated 3 years ago
- Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019☆149Updated 5 years ago
- Code for class assignments that demonstrates understanding of Logistic Regression, Visualization, Linear Regression and Machine Learning …☆33Updated 9 years ago
- ☆23Updated 3 months ago
- Repository for R package simfinR☆8Updated 3 years ago
- A shiny interface for ML models, data visualization etc.☆8Updated 6 years ago