NTUA-Multi-Criteria-Decision-Analysis

jimmyg1997

📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem

optimization

View on GitHub

11 Stars

2 Forks

11 Watchers

Jupyter Notebook Language

Cost to Build

$26.0K

Market Value

$22.5K

How is this calculated?

Growth over time

1 data points · 2021-07-30 → 2021-07-30

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about NTUA-Multi-Criteria-Decision-Analysis

Question copied to clipboard

What is the jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis GitHub project? Description: "📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone NTUA-Multi-Criteria-Decision-Analysis

Clone via HTTPS

git clone https://github.com/jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis.git

Clone via SSH

[email protected]:jimmyg1997/NTUA-Multi-Criteria-Decision-Analysis.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the NTUA-Multi-Criteria-Decision-Analysis issue tracker:

Open GitHub Issues

Similar to NTUA-Multi-Criteria-Decision-Analysis

prepack svgo closure-compiler llvm clean-css simplify imagemin game-programming-patterns webpackmonitor reactopt BayesianOptimization nnvm MTuner webdnn easyengine gosl soot scikit-optimize DietPi faster incubator-kie-optaplanner search-engine-optimization react-ssr-optimization opticss wheels owl meshoptimizer MLBox JuMP.jl eaopt